---------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  E:\PHD\Research\EITC public opinion\EITC HQ JH\Data\Replication data\conjointanalysis.
> log
  log type:  text
 opened on:  25 Sep 2023, 12:30:13

. //program:  conjointanalysis.do
. //task:    Replication code for MTurk conjoint analyses   
. //project:  Ideology, Information, and Social Welfare Preferences (American Politics Research)  
. //authors: Hang Qi & Jake Haselswerdt
. //updated 9/25/23
. 
. //program setup
. version 18

. clear all

. set linesize 90

. macro drop _all

. set scheme s1mono

. set more off

. set level 90 

. 
. use conjoint_all.dta, clear

. 
. //estimate AMCEs with ideological subgroups
. **forced choice
. *all respondents
. ssc install conjoint /*Install conjoint command*/
checking conjoint consistency and verifying not already installed...
all files already exist and are up to date.

. conjoint program_choice cat_a_desc cat_a_prob1 cat_a_prob2 cat_a_funding cat_a_cost cat_
> a_number cat_a_time, est(amce) id(id) constraint(cat_a_desc#cat_a_prob1#cat_a_prob2) sub
> group(ideo3) 
------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Liberal
Number of observations = 16400
Number of respondents = 1025

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |   0.0023    0.0109    0.2089    0.8346   -0.0157    0.0202 
   TANF basic description |  -0.0372    0.0316   -1.1759    0.2399   -0.0892    0.0149 
TANF self sufficient de~n |  -0.0386    0.0315   -1.2275    0.2199   -0.0904    0.0132 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.0864    0.0141   -6.1105    0.0000   -0.1097   -0.0631 
EITC inadequacy unemplo~e |  -0.0562    0.0146   -3.8550    0.0001   -0.0802   -0.0322 
TANF inadequacy most do~i |  -0.0919    0.0136   -6.7531    0.0000   -0.1143   -0.0695 
TANF inadequacy benefit~a |  -0.0380    0.0138   -2.7565    0.0059   -0.0608   -0.0153 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.0429    0.0140   -3.0603    0.0023   -0.0660   -0.0198 
EITC fraud paid preparers |  -0.0407    0.0142   -2.8612    0.0043   -0.0641   -0.0173 
   TANF fraud easy to lie |  -0.0435    0.0139   -3.1302    0.0018   -0.0664   -0.0206 
TANF fraud improper pay~s |  -0.0719    0.0139   -5.1650    0.0000   -0.0949   -0.0490 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |  -0.0182    0.0099   -1.8301    0.0675   -0.0345   -0.0018 
        Federal and state |   0.0079    0.0095    0.8265    0.4087   -0.0078    0.0235 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |  -0.0081    0.0109   -0.7430    0.4577   -0.0261    0.0099 
               53 billion |  -0.0080    0.0121   -0.6592    0.5099   -0.0279    0.0119 
               70 billion |   0.0057    0.0124    0.4544    0.6496   -0.0148    0.0261 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |   0.0262    0.0109    2.4026    0.0165    0.0083    0.0442 
        17 million people |   0.0721    0.0110    6.5370    0.0000    0.0539    0.0903 
        25 million people |   0.0896    0.0117    7.6421    0.0000    0.0703    0.1089 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |  -0.0224    0.0117   -1.9125    0.0561   -0.0417   -0.0031 
                  4 years |   0.0092    0.0113    0.8138    0.4159   -0.0094    0.0279 
                  8 years |   0.0306    0.0114    2.6818    0.0074    0.0118    0.0493 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2

------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Moderate
Number of observations = 8432
Number of respondents = 527

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |   0.0081    0.0160    0.5105    0.6099   -0.0182    0.0344 
   TANF basic description |   0.0547    0.0485    1.1281    0.2598   -0.0252    0.1346 
TANF self sufficient de~n |   0.0842    0.0450    1.8711    0.0619    0.0101    0.1584 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.0319    0.0203   -1.5721    0.1165   -0.0653    0.0015 
EITC inadequacy unemplo~e |  -0.0392    0.0191   -2.0494    0.0409   -0.0707   -0.0077 
TANF inadequacy most do~i |  -0.0677    0.0193   -3.5124    0.0005   -0.0995   -0.0360 
TANF inadequacy benefit~a |  -0.0417    0.0188   -2.2221    0.0267   -0.0726   -0.0108 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.0314    0.0190   -1.6532    0.0989   -0.0627   -0.0001 
EITC fraud paid preparers |  -0.0460    0.0192   -2.3963    0.0169   -0.0776   -0.0144 
   TANF fraud easy to lie |  -0.0798    0.0207   -3.8594    0.0001   -0.1139   -0.0457 
TANF fraud improper pay~s |  -0.0903    0.0207   -4.3626    0.0000   -0.1244   -0.0562 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |   0.0156    0.0144    1.0862    0.2779   -0.0081    0.0393 
        Federal and state |   0.0293    0.0135    2.1687    0.0305    0.0070    0.0516 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |  -0.0518    0.0155   -3.3490    0.0009   -0.0773   -0.0263 
               53 billion |  -0.0558    0.0165   -3.3926    0.0007   -0.0830   -0.0287 
               70 billion |  -0.0517    0.0173   -2.9804    0.0030   -0.0802   -0.0231 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |  -0.0122    0.0152   -0.8015    0.4232   -0.0371    0.0128 
        17 million people |   0.0279    0.0156    1.7881    0.0743    0.0022    0.0535 
        25 million people |   0.0637    0.0166    3.8382    0.0001    0.0364    0.0911 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |   0.0417    0.0172    2.4214    0.0158    0.0133    0.0701 
                  4 years |   0.0364    0.0170    2.1345    0.0333    0.0083    0.0644 
                  8 years |   0.0331    0.0166    1.9912    0.0470    0.0057    0.0605 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2

------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Conservative
Number of observations = 9984
Number of respondents = 624

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |  -0.0101    0.0137   -0.7381    0.4607   -0.0326    0.0124 
   TANF basic description |   0.0371    0.0431    0.8602    0.3900   -0.0339    0.1081 
TANF self sufficient de~n |   0.0476    0.0432    1.1024    0.2707   -0.0235    0.1188 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.0085    0.0176   -0.4833    0.6291   -0.0376    0.0205 
EITC inadequacy unemplo~e |  -0.0373    0.0172   -2.1697    0.0304   -0.0656   -0.0090 
TANF inadequacy most do~i |  -0.0421    0.0180   -2.3392    0.0196   -0.0717   -0.0124 
TANF inadequacy benefit~a |  -0.0609    0.0177   -3.4436    0.0006   -0.0900   -0.0317 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |   0.0020    0.0176    0.1164    0.9074   -0.0269    0.0310 
EITC fraud paid preparers |  -0.0267    0.0180   -1.4857    0.1379   -0.0564    0.0029 
   TANF fraud easy to lie |  -0.0446    0.0175   -2.5449    0.0112   -0.0734   -0.0157 
TANF fraud improper pay~s |  -0.0604    0.0177   -3.4067    0.0007   -0.0895   -0.0312 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |   0.0138    0.0130    1.0552    0.2917   -0.0077    0.0352 
        Federal and state |   0.0126    0.0119    1.0593    0.2899   -0.0070    0.0323 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |   0.0174    0.0145    1.1965    0.2320   -0.0066    0.0413 
               53 billion |  -0.0207    0.0160   -1.3000    0.1941   -0.0470    0.0055 
               70 billion |  -0.0440    0.0167   -2.6313    0.0087   -0.0716   -0.0165 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |   0.0414    0.0137    3.0137    0.0027    0.0188    0.0640 
        17 million people |   0.0239    0.0144    1.6615    0.0971    0.0002    0.0476 
        25 million people |   0.0654    0.0156    4.1881    0.0000    0.0397    0.0911 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |   0.0570    0.0156    3.6431    0.0003    0.0312    0.0828 
                  4 years |   0.0513    0.0150    3.4223    0.0007    0.0266    0.0760 
                  8 years |   0.0305    0.0148    2.0561    0.0402    0.0061    0.0549 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2


. matrix liberal_choice = e(results_Liberal)

. matrix moderate_choice = e(results_Moderate)

. matrix conservative_choice = e(results_Conservative)

. 
. *generate figure 2.
. display _asis "`e(graph_code)'"


. 
. global labelreplace EITC_basic_description = "EITC basic" EITC_working_description = "EI
> TC working" TANF_basic_description = "TANF basic" TANF_self_sufficient_description = "TA
> NF self-sufficient" EITC_inadequacy_tax_time = "EITC inadequacy tax time" EITC_inadequac
> y_unemployment___e = "EITC inadequacy unemployment" TANF_inadequacy_most_don_t_quali = "
> TANF inadequacy most don't qualify" TANF_inadequacy_benefits_too_sma = "TANF inadequacy 
> benefits too small" EITC_fraud_larger_credit = "EITC fraud larger credit" EITC_fraud_pai
> d_preparers = "EITC fraud paid preparers" TANF_fraud_easy_to_lie = "TANF fraud easy to l
> ie" TANF_fraud_improper_payments = "TANF fraud improper payments" Federal_and_state = "F
> ederal & state" _19_billion = "$19 billion" _27_billion="$27 billion" _53_billion="$53 b
> illion" _70_billion="$70 billion" _5_million_people = "5 million" _8_million_people = "8
>  million" _17_million_people = "17 million" _25_million_people = "25 million" No_time_li
> mit = "No time limit" _2_years = "2 years" _4_years = "4 years" _8_years = "8 years"

. 
. coefplot  matrix(liberal_choice[,1]), bylabel(Liberal) || ///
> matrix(conservative_choice[,1]), bylabel(Conservative) ||, ci(( 5 6)) ///
> keep(*:) xline(0, lpattern(-) lcolor(black)) xlabel(-.1(.1).1) xtick(-.15(.05).15) coefl
> abels($labelreplace, labsize(vsmall)) eqlabels( "{bf:Policy Description}" "{bf:Policy Pr
> oblem 1}" "{bf:Policy Problem 2}" "{bf:Funding Provided by}" "{bf:Total Cost per Year}" 
> "{bf:Participant Population}" "{bf:Time Limit}", asheadings) byopts(graphregion(col(whit
> e)) cols(3)) subtitle(, fcolor (gs15)) scale(0.7) xtitle({bf:Estimated AMCEs (forced cho
> ice)}) 
(liberal_choice: CI1 missing for some coefficients)
(conservative_choice: CI1 missing for some coefficients)

. gr export Figures/choice_ideo2_amce.png, as(png) replace
file Figures/choice_ideo2_amce.png saved as PNG format

. 
. //formal hypothesis tests
. **H1(M) (H1a(P)) Information about inadequate benefits will have a larger negative impac
> t on liberals' support than on conservatives' support.
. *forced choice (dropping least attentive respondents)
. reg program_choice i.cat_a_prob1##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     20,960
                                                F(9, 1309)        =      12.68
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0063
                                                Root MSE          =     .49855

                                            (Std. err. adjusted for 1,310 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_prob1 |
EITC inadequacy tax ..  |  -.0862964   .0137368    -6.28   0.000    -.1089074   -.0636853
EITC inadequacy unem..  |  -.0504548   .0140549    -3.59   0.000    -.0735895   -.0273202
TANF inadequacy most..  |  -.1354728   .0138534    -9.78   0.000    -.1582757   -.1126699
TANF inadequacy bene..  |  -.0805525   .0143149    -5.63   0.000    -.1041151   -.0569899
                        |
                 libcon |
          Conservative  |  -.0378803   .0104848    -3.61   0.000    -.0551384   -.0206222
                        |
     cat_a_prob1#libcon |
EITC inadequacy tax .. #|
          Conservative  |   .0720333   .0214685     3.36   0.001     .0366957    .1073709
EITC inadequacy unem.. #|
          Conservative  |   .0130582   .0220452     0.59   0.554    -.0232286     .049345
TANF inadequacy most.. #|
          Conservative  |   .0974118   .0227258     4.29   0.000     .0600046    .1348189
TANF inadequacy bene.. #|
          Conservative  |   .0447235   .0227588     1.97   0.050     .0072621    .0821848
                        |
                  _cons |   .5586746   .0066117    84.50   0.000     .5477917    .5695576
-----------------------------------------------------------------------------------------

. testparm i.cat_a_prob1#i.libcon

 ( 1)  2.cat_a_prob1#1.libcon = 0
 ( 2)  3.cat_a_prob1#1.libcon = 0
 ( 3)  5.cat_a_prob1#1.libcon = 0
 ( 4)  6.cat_a_prob1#1.libcon = 0

       F(  4,  1309) =    6.02
            Prob > F =    0.0001

. di r(p) /*to show more digits*/
.00008443

. 
. *forced choice (all respondents)
. reg program_choice i.cat_a_prob1##i.libcon, cl(id)

Linear regression                               Number of obs     =     26,384
                                                F(9, 1648)        =      11.96
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0045
                                                Root MSE          =     .49897

                                            (Std. err. adjusted for 1,649 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_prob1 |
EITC inadequacy tax ..  |  -.0646426   .0122047    -5.30   0.000    -.0847289   -.0445563
EITC inadequacy unem..  |   -.034699   .0127408    -2.72   0.007    -.0556676   -.0137304
TANF inadequacy most..  |  -.1126174   .0121107    -9.30   0.000     -.132549   -.0926858
TANF inadequacy bene..  |   -.059979   .0125767    -4.77   0.000    -.0806775   -.0392805
                        |
                 libcon |
          Conservative  |  -.0207941   .0093516    -2.22   0.026    -.0361848   -.0054033
                        |
     cat_a_prob1#libcon |
EITC inadequacy tax .. #|
          Conservative  |   .0460003   .0192505     2.39   0.017     .0143182    .0776823
EITC inadequacy unem.. #|
          Conservative  |  -.0117489   .0198414    -0.59   0.554    -.0444036    .0209057
TANF inadequacy most.. #|
          Conservative  |   .0792892   .0201966     3.93   0.000       .04605    .1125283
TANF inadequacy bene.. #|
          Conservative  |   .0097491     .02003     0.49   0.627    -.0232159    .0427141
                        |
                  _cons |   .5452571   .0058881    92.60   0.000     .5355666    .5549476
-----------------------------------------------------------------------------------------

. testparm i.cat_a_prob1#i.libcon

 ( 1)  2.cat_a_prob1#1.libcon = 0
 ( 2)  3.cat_a_prob1#1.libcon = 0
 ( 3)  5.cat_a_prob1#1.libcon = 0
 ( 4)  6.cat_a_prob1#1.libcon = 0

       F(  4,  1648) =    5.80
            Prob > F =    0.0001

. di r(p) /*to show more digits*/
.00012252

. 
. *program support (dropping least attentive respondents)
. reg program_support i.cat_a_prob1##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     20,960
                                                F(9, 1309)        =      13.25
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0162
                                                Root MSE          =     1.6919

                                            (Std. err. adjusted for 1,310 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
        program_support | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_prob1 |
EITC inadequacy tax ..  |  -.1731641   .0437465    -3.96   0.000    -.2451717   -.1011565
EITC inadequacy unem..  |  -.1051014   .0442932    -2.37   0.018    -.1780088   -.0321941
TANF inadequacy most..  |  -.3991636   .0461592    -8.65   0.000    -.4751426   -.3231847
TANF inadequacy bene..  |  -.1476084   .0452864    -3.26   0.001    -.2221506   -.0730662
                        |
                 libcon |
          Conservative  |  -.4592849   .0778084    -5.90   0.000    -.5873589   -.3312108
                        |
     cat_a_prob1#libcon |
EITC inadequacy tax .. #|
          Conservative  |   .0844473   .0782079     1.08   0.280    -.0442843    .2131789
EITC inadequacy unem.. #|
          Conservative  |  -.0199783   .0773917    -0.26   0.796    -.1473665    .1074099
TANF inadequacy most.. #|
          Conservative  |    .314833   .0802215     3.92   0.000     .1827869     .446879
TANF inadequacy bene.. #|
          Conservative  |   .0604123   .0780941     0.77   0.439     -.068132    .1889566
                        |
                  _cons |   5.016797   .0391353   128.19   0.000      4.95238    5.081215
-----------------------------------------------------------------------------------------

. testparm i.cat_a_prob1#i.libcon

 ( 1)  2.cat_a_prob1#1.libcon = 0
 ( 2)  3.cat_a_prob1#1.libcon = 0
 ( 3)  5.cat_a_prob1#1.libcon = 0
 ( 4)  6.cat_a_prob1#1.libcon = 0

       F(  4,  1309) =    4.82
            Prob > F =    0.0007

. di r(p) /*to show more digits*/
.0007349

. 
. *program support (all respondents)
. reg program_support i.cat_a_prob1##i.libcon, cl(id)

Linear regression                               Number of obs     =     26,384
                                                F(9, 1648)        =      10.31
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0101
                                                Root MSE          =     1.6702

                                            (Std. err. adjusted for 1,649 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
        program_support | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_prob1 |
EITC inadequacy tax ..  |  -.1093603   .0383488    -2.85   0.004    -.1724739   -.0462466
EITC inadequacy unem..  |  -.0839529   .0386004    -2.17   0.030    -.1474806   -.0204251
TANF inadequacy most..  |  -.3079368   .0401168    -7.68   0.000    -.3739603   -.2419134
TANF inadequacy bene..  |  -.1052397   .0389439    -2.70   0.007    -.1693327   -.0411466
                        |
                 libcon |
          Conservative  |  -.3422939   .0689358    -4.97   0.000     -.455747   -.2288409
                        |
     cat_a_prob1#libcon |
EITC inadequacy tax .. #|
          Conservative  |   .0442338   .0682629     0.65   0.517    -.0681119    .1565795
EITC inadequacy unem.. #|
          Conservative  |  -.0471561   .0689799    -0.68   0.494    -.1606819    .0663696
TANF inadequacy most.. #|
          Conservative  |   .2290615   .0699366     3.28   0.001     .1139614    .3441616
TANF inadequacy bene.. #|
          Conservative  |   .0266363   .0675971     0.39   0.694    -.0846136    .1378861
                        |
                  _cons |   5.089609   .0348436   146.07   0.000     5.032264    5.146954
-----------------------------------------------------------------------------------------

. testparm i.cat_a_prob1#i.libcon

 ( 1)  2.cat_a_prob1#1.libcon = 0
 ( 2)  3.cat_a_prob1#1.libcon = 0
 ( 3)  5.cat_a_prob1#1.libcon = 0
 ( 4)  6.cat_a_prob1#1.libcon = 0

       F(  4,  1648) =    3.90
            Prob > F =    0.0037

. di r(p) /*to show more digits*/
.00374187

. 
. **H2(M) (H1b(P)) Information about inefficiencies and fraud will have a larger negative 
> impact on conservatives' support than on liberals' support.
. *forced choice (dropping least attentive respondents)
. reg program_choice i.cat_a_prob2##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     20,960
                                                F(9, 1309)        =       9.52
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0050
                                                Root MSE          =     .49886

                                            (Std. err. adjusted for 1,310 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_prob2 |
EITC fraud larger cr..  |  -.0441572   .0144119    -3.06   0.002    -.0678794    -.020435
EITC fraud paid prep..  |  -.0514323   .0141532    -3.63   0.000    -.0747288   -.0281358
TANF fraud easy to lie  |  -.0907484   .0142314    -6.38   0.000    -.1141736   -.0673231
TANF fraud improper ..  |  -.1088474   .0142003    -7.67   0.000    -.1322213   -.0854734
                        |
                 libcon |
          Conservative  |  -.0207043   .0109176    -1.90   0.058    -.0386749   -.0027336
                        |
     cat_a_prob2#libcon |
EITC fraud larger cr.. #|
          Conservative  |   .0241375    .022664     1.07   0.287    -.0131679    .0614429
EITC fraud paid prep.. #|
          Conservative  |   .0021594   .0224975     0.10   0.924    -.0348719    .0391908
TANF fraud easy to lie #|
          Conservative  |   .0455893   .0225669     2.02   0.044     .0084437    .0827348
TANF fraud improper .. #|
          Conservative  |   .0516477   .0231543     2.23   0.026     .0135354    .0897601
                        |
                  _cons |   .5491596   .0068449    80.23   0.000     .5378927    .5604264
-----------------------------------------------------------------------------------------

. testparm i.cat_a_prob2#i.libcon

 ( 1)  2.cat_a_prob2#1.libcon = 0
 ( 2)  3.cat_a_prob2#1.libcon = 0
 ( 3)  5.cat_a_prob2#1.libcon = 0
 ( 4)  6.cat_a_prob2#1.libcon = 0

       F(  4,  1309) =    1.93
            Prob > F =    0.1028

. 
. *forced choice (all respondents)
. reg program_choice i.cat_a_prob2##i.libcon, cl(id)

Linear regression                               Number of obs     =     26,384
                                                F(9, 1648)        =       7.17
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0029
                                                Root MSE          =     .49937

                                            (Std. err. adjusted for 1,649 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_prob2 |
EITC fraud larger cr..  |  -.0300019   .0127205    -2.36   0.018    -.0509371   -.0090668
EITC fraud paid prep..  |  -.0263418   .0126627    -2.08   0.038    -.0471819   -.0055018
TANF fraud easy to lie  |  -.0585245    .012489    -4.69   0.000    -.0790786   -.0379704
TANF fraud improper ..  |  -.0864781   .0125236    -6.91   0.000    -.1070892   -.0658669
                        |
                 libcon |
          Conservative  |  -.0130647   .0096344    -1.36   0.175    -.0289208    .0027914
                        |
     cat_a_prob2#libcon |
EITC fraud larger cr.. #|
          Conservative  |   .0199079   .0201854     0.99   0.324    -.0133129    .0531286
EITC fraud paid prep.. #|
          Conservative  |  -.0132469   .0200943    -0.66   0.510    -.0463176    .0198239
TANF fraud easy to lie #|
          Conservative  |   .0293854   .0198879     1.48   0.140    -.0033457    .0621166
TANF fraud improper .. #|
          Conservative  |   .0418904   .0201721     2.08   0.038     .0086917    .0750891
                        |
                  _cons |   .5335882   .0061014    87.45   0.000     .5235466    .5436298
-----------------------------------------------------------------------------------------

. testparm i.cat_a_prob2#i.libcon

 ( 1)  2.cat_a_prob2#1.libcon = 0
 ( 2)  3.cat_a_prob2#1.libcon = 0
 ( 3)  5.cat_a_prob2#1.libcon = 0
 ( 4)  6.cat_a_prob2#1.libcon = 0

       F(  4,  1648) =    2.02
            Prob > F =    0.0889

. 
. *program support (dropping least attentive respondents)
. reg program_support i.cat_a_prob2##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     20,960
                                                F(9, 1309)        =      10.91
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0155
                                                Root MSE          =     1.6925

                                            (Std. err. adjusted for 1,310 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
        program_support | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_prob2 |
EITC fraud larger cr..  |  -.1178962   .0443012    -2.66   0.008    -.1908168   -.0449756
EITC fraud paid prep..  |  -.1452744   .0441107    -3.29   0.001    -.2178815   -.0726674
TANF fraud easy to lie  |  -.2548284   .0461968    -5.52   0.000    -.3308692   -.1787875
TANF fraud improper ..  |    -.33156   .0467139    -7.10   0.000    -.4084519   -.2546681
                        |
                 libcon |
          Conservative  |   -.472403   .0771076    -6.13   0.000    -.5993236   -.3454824
                        |
     cat_a_prob2#libcon |
EITC fraud larger cr.. #|
          Conservative  |   .0484102   .0778282     0.62   0.534    -.0796964    .1765169
EITC fraud paid prep.. #|
          Conservative  |   .0802184   .0769631     1.04   0.297    -.0464644    .2069012
TANF fraud easy to lie #|
          Conservative  |   .1789506   .0810862     2.21   0.027     .0454812      .31242
TANF fraud improper .. #|
          Conservative  |    .207893   .0817136     2.54   0.011     .0733909    .3423951
                        |
                  _cons |   5.021184   .0394742   127.20   0.000     4.956208    5.086159
-----------------------------------------------------------------------------------------

. testparm i.cat_a_prob2#i.libcon

 ( 1)  2.cat_a_prob2#1.libcon = 0
 ( 2)  3.cat_a_prob2#1.libcon = 0
 ( 3)  5.cat_a_prob2#1.libcon = 0
 ( 4)  6.cat_a_prob2#1.libcon = 0

       F(  4,  1309) =    2.12
            Prob > F =    0.0760

. 
. *program support (all respondents)
. reg program_support i.cat_a_prob2##i.libcon, cl(id)

Linear regression                               Number of obs     =     26,384
                                                F(9, 1648)        =       8.24
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0095
                                                Root MSE          =     1.6708

                                            (Std. err. adjusted for 1,649 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
        program_support | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_prob2 |
EITC fraud larger cr..  |  -.0972202   .0386938    -2.51   0.012    -.1609016   -.0335388
EITC fraud paid prep..  |  -.0828772   .0388461    -2.13   0.033    -.1468093   -.0189452
TANF fraud easy to lie  |  -.1829436   .0398553    -4.59   0.000    -.2485366   -.1173506
TANF fraud improper ..  |  -.2558756   .0407423    -6.28   0.000    -.3229284   -.1888228
                        |
                 libcon |
          Conservative  |  -.3682588   .0680042    -5.42   0.000    -.4801786    -.256339
                        |
     cat_a_prob2#libcon |
EITC fraud larger cr.. #|
          Conservative  |   .0655684   .0677051     0.97   0.333    -.0458593     .176996
EITC fraud paid prep.. #|
          Conservative  |   .0357076   .0681614     0.52   0.600     -.076471    .1478862
TANF fraud easy to lie #|
          Conservative  |   .1277164   .0700856     1.82   0.069     .0123711    .2430617
TANF fraud improper .. #|
          Conservative  |   .1816347    .070219     2.59   0.010     .0660699    .2971996
                        |
                  _cons |   5.091935   .0352361   144.51   0.000     5.033944    5.149926
-----------------------------------------------------------------------------------------

. testparm i.cat_a_prob2#i.libcon 

 ( 1)  2.cat_a_prob2#1.libcon = 0
 ( 2)  3.cat_a_prob2#1.libcon = 0
 ( 3)  5.cat_a_prob2#1.libcon = 0
 ( 4)  6.cat_a_prob2#1.libcon = 0

       F(  4,  1648) =    1.95
            Prob > F =    0.1000

. di r(p)
.09999813

. 
. **H2(P) Negative policy information will have a larger effect in general for submerged s
> tate programs than for traditional welfare programs.
. *forced choice (dropping least attentive respondents)
. reg program_choice eitc_problem tanf_problem eitc_tanf if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     27,872
                                                F(3, 1741)        =      44.95
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0055
                                                Root MSE          =     .49865

                                 (Std. err. adjusted for 1,742 clusters in id)
------------------------------------------------------------------------------
             |               Robust
program_ch~e | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
-------------+----------------------------------------------------------------
eitc_problem |  -.0936286   .0138401    -6.77   0.000    -.1164057   -.0708515
tanf_problem |  -.1234956   .0135313    -9.13   0.000    -.1457645   -.1012268
   eitc_tanf |  -.0013968   .0177239    -0.08   0.937    -.0305655     .027772
       _cons |   .5972222   .0127732    46.76   0.000     .5762011    .6182434
------------------------------------------------------------------------------

. lincom eitc_problem-tanf_problem

 ( 1)  eitc_problem - tanf_problem = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [90% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0298671   .0188606     1.58   0.113    -.0011723    .0609065
------------------------------------------------------------------------------

. 
. *forced choice (all respondents)
. reg program_choice eitc_problem tanf_problem eitc_tanf, cl(id)

Linear regression                               Number of obs     =     34,832
                                                F(3, 2176)        =      36.92
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0036
                                                Root MSE          =     .49912

                                 (Std. err. adjusted for 2,177 clusters in id)
------------------------------------------------------------------------------
             |               Robust
program_ch~e | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
-------------+----------------------------------------------------------------
eitc_problem |  -.0667064   .0124787    -5.35   0.000    -.0872407   -.0461721
tanf_problem |  -.1037433   .0122023    -8.50   0.000    -.1238228   -.0836638
   eitc_tanf |   .0087434   .0160048     0.55   0.585    -.0175934    .0350802
       _cons |   .5714286   .0114434    49.94   0.000     .5525979    .5902592
------------------------------------------------------------------------------

. lincom eitc_problem-tanf_problem

 ( 1)  eitc_problem - tanf_problem = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [90% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0370369   .0170282     2.18   0.030      .009016    .0650578
------------------------------------------------------------------------------

. 
. *program support (dropping least attentive respondents)
. reg program_support eitc_problem tanf_problem eitc_tanf if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     27,872
                                                F(3, 1741)        =      37.40
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0047
                                                Root MSE          =     1.7009

                                 (Std. err. adjusted for 1,742 clusters in id)
------------------------------------------------------------------------------
             |               Robust
program_su~t | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
-------------+----------------------------------------------------------------
eitc_problem |  -.3320857   .0462443    -7.18   0.000    -.4081914   -.2559801
tanf_problem |  -.3593185   .0488505    -7.36   0.000    -.4397131   -.2789238
   eitc_tanf |  -.0645977   .0610527    -1.06   0.290    -.1650739    .0358785
       _cons |   4.972884   .0485883   102.35   0.000      4.89292    5.052847
------------------------------------------------------------------------------

. lincom eitc_problem-tanf_problem

 ( 1)  eitc_problem - tanf_problem = 0

------------------------------------------------------------------------------
program_su~t | Coefficient  Std. err.      t    P>|t|     [90% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0272328   .0654118     0.42   0.677    -.0804173    .1348828
------------------------------------------------------------------------------

. 
. *program support (all respondents)
. reg program_support eitc_problem tanf_problem eitc_tanf, cl(id)

Linear regression                               Number of obs     =     34,832
                                                F(3, 2176)        =      30.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0030
                                                Root MSE          =     1.6798

                                 (Std. err. adjusted for 2,177 clusters in id)
------------------------------------------------------------------------------
             |               Robust
program_su~t | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
-------------+----------------------------------------------------------------
eitc_problem |  -.2623188   .0402185    -6.52   0.000    -.3285005   -.1961371
tanf_problem |  -.2779944   .0423478    -6.56   0.000      -.34768   -.2083088
   eitc_tanf |  -.0553453   .0532451    -1.04   0.299     -.142963    .0322725
       _cons |    5.03663   .0423161   119.02   0.000     4.966997    5.106263
------------------------------------------------------------------------------

. lincom eitc_problem-tanf_problem

 ( 1)  eitc_problem - tanf_problem = 0

------------------------------------------------------------------------------
program_su~t | Coefficient  Std. err.      t    P>|t|     [90% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0156756   .0570071     0.27   0.783    -.0781327    .1094839
------------------------------------------------------------------------------

. 
. **H3(M&P) Describing a program as being funded by state (as opposed to federal) governme
> nt will have a larger positive impact on conservatives' support than on liberals' suppor
> t.
. *forced choice (dropping least attentive respondents)
. reg program_choice 2.cat_a_funding##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     20,960
                                                F(3, 1309)        =       3.20
                                                Prob > F          =     0.0225
                                                R-squared         =     0.0005
                                                Root MSE          =     .49992

                                         (Std. err. adjusted for 1,310 clusters in id)
--------------------------------------------------------------------------------------
                     |               Robust
      program_choice | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
---------------------+----------------------------------------------------------------
       cat_a_funding |
              State  |  -.0301721   .0097665    -3.09   0.002     -.046248   -.0140963
                     |
              libcon |
       Conservative  |  -.0110881   .0053642    -2.07   0.039    -.0199177   -.0022585
                     |
cat_a_funding#libcon |
 State#Conservative  |   .0335578   .0162022     2.07   0.039     .0068886     .060227
                     |
               _cons |   .5099666   .0032304   157.87   0.000     .5046494    .5152838
--------------------------------------------------------------------------------------

. 
. *forced choice (all respondents)
. reg program_choice 2.cat_a_funding##i.libcon, cl(id)

Linear regression                               Number of obs     =     26,384
                                                F(3, 1648)        =       2.21
                                                Prob > F          =     0.0852
                                                R-squared         =     0.0003
                                                Root MSE          =     .49997

                                         (Std. err. adjusted for 1,649 clusters in id)
--------------------------------------------------------------------------------------
                     |               Robust
      program_choice | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
---------------------+----------------------------------------------------------------
       cat_a_funding |
              State  |  -.0216429   .0086433    -2.50   0.012    -.0358678    -.007418
                     |
              libcon |
       Conservative  |  -.0093909    .004719    -1.99   0.047    -.0171573   -.0016246
                     |
cat_a_funding#libcon |
 State#Conservative  |   .0284304   .0142739     1.99   0.047     .0049388    .0519221
                     |
               _cons |   .5071461   .0028562   177.56   0.000     .5024454    .5118468
--------------------------------------------------------------------------------------

. 
. *program support (dropping least attentive respondents)
. reg program_support 2.cat_a_funding##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     20,960
                                                F(3, 1309)        =      12.27
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0123
                                                Root MSE          =      1.695

                                         (Std. err. adjusted for 1,310 clusters in id)
--------------------------------------------------------------------------------------
                     |               Robust
     program_support | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
---------------------+----------------------------------------------------------------
       cat_a_funding |
              State  |  -.0591913   .0293156    -2.02   0.044    -.1074452   -.0109373
                     |
              libcon |
       Conservative  |  -.4219857   .0715699    -5.90   0.000    -.5397911   -.3041803
                     |
cat_a_funding#libcon |
 State#Conservative  |   .1084101   .0568317     1.91   0.057     .0148641    .2019562
                     |
               _cons |   4.899182   .0355524   137.80   0.000     4.840662    4.957702
--------------------------------------------------------------------------------------

. 
. *program support (all respondents)
. reg program_support 2.cat_a_funding##i.libcon, cl(id) 

Linear regression                               Number of obs     =     26,384
                                                F(3, 1648)        =      10.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0078
                                                Root MSE          =     1.6721

                                         (Std. err. adjusted for 1,649 clusters in id)
--------------------------------------------------------------------------------------
                     |               Robust
     program_support | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
---------------------+----------------------------------------------------------------
       cat_a_funding |
              State  |  -.0592536   .0257558    -2.30   0.022    -.1016419   -.0168652
                     |
              libcon |
       Conservative  |  -.3367785   .0637412    -5.28   0.000    -.4416824   -.2318745
                     |
cat_a_funding#libcon |
 State#Conservative  |   .1121575   .0493028     2.27   0.023     .0310159     .193299
                     |
               _cons |   5.008284   .0322589   155.25   0.000     4.955193    5.061375
--------------------------------------------------------------------------------------

. 
. **H4(M&P) Describing a program as having a time limit for receiving benefits (especially
>  a shorter time limit) will have a larger positive impact on conservatives' support than
>  on liberals' support.
. *forced choice (dropping least attentive respondents)
. reg program_choice i.cat_a_time##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     20,960
                                                F(7, 1309)        =       5.04
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0020
                                                Root MSE          =      .4996

                                          (Std. err. adjusted for 1,310 clusters in id)
---------------------------------------------------------------------------------------
                      |               Robust
       program_choice | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
----------------------+----------------------------------------------------------------
           cat_a_time |
             2 years  |  -.0325576   .0133939    -2.43   0.015    -.0546042   -.0105109
             4 years  |  -.0019405   .0131011    -0.15   0.882    -.0235053    .0196242
             8 years  |   .0255599   .0126538     2.02   0.044     .0047315    .0463884
                      |
               libcon |
        Conservative  |   -.041939   .0132409    -3.17   0.002    -.0637338   -.0201441
                      |
    cat_a_time#libcon |
2 years#Conservative  |   .0994252   .0218805     4.54   0.000     .0634094     .135441
4 years#Conservative  |   .0533137   .0215885     2.47   0.014     .0177786    .0888489
8 years#Conservative  |   .0159939   .0206964     0.77   0.440    -.0180729    .0500606
                      |
                _cons |   .5020983   .0079477    63.18   0.000     .4890163    .5151803
---------------------------------------------------------------------------------------

. testparm i.cat_a_time#i.libcon

 ( 1)  2.cat_a_time#1.libcon = 0
 ( 2)  3.cat_a_time#1.libcon = 0
 ( 3)  4.cat_a_time#1.libcon = 0

       F(  3,  1309) =    7.95
            Prob > F =    0.0000

. di r(p) /*to show more digits*/
.00002946

. 
. *forced choice (all respondents)
. reg program_choice i.cat_a_time##i.libcon, cl(id)

Linear regression                               Number of obs     =     26,384
                                                F(7, 1648)        =       5.11
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0016
                                                Root MSE          =     .49967

                                          (Std. err. adjusted for 1,649 clusters in id)
---------------------------------------------------------------------------------------
                      |               Robust
       program_choice | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
----------------------+----------------------------------------------------------------
           cat_a_time |
             2 years  |  -.0221394   .0118608    -1.87   0.062    -.0416597   -.0026191
             4 years  |   .0086313   .0114453     0.75   0.451    -.0102051    .0274678
             8 years  |   .0314951   .0114486     2.75   0.006     .0126533     .050337
                      |
               libcon |
        Conservative  |  -.0291647   .0118916    -2.45   0.014    -.0487356   -.0095937
                      |
    cat_a_time#libcon |
2 years#Conservative  |   .0777161   .0196695     3.95   0.000     .0453445    .1100877
4 years#Conservative  |   .0395859   .0190126     2.08   0.037     .0082954    .0708763
8 years#Conservative  |   .0003488   .0187511     0.02   0.985    -.0305113     .031209
                      |
                _cons |   .4953271   .0071039    69.73   0.000     .4836357    .5070185
---------------------------------------------------------------------------------------

. testparm i.cat_a_time#i.libcon

 ( 1)  2.cat_a_time#1.libcon = 0
 ( 2)  3.cat_a_time#1.libcon = 0
 ( 3)  4.cat_a_time#1.libcon = 0

       F(  3,  1648) =    7.07
            Prob > F =    0.0001

. di r(p) /*to show more digits*/
.00010153

. 
. *program support (dropping least attentive respondents)
. reg program_support i.cat_a_time##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     20,960
                                                F(7, 1309)        =       5.69
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0127
                                                Root MSE          =     1.6949

                                          (Std. err. adjusted for 1,310 clusters in id)
---------------------------------------------------------------------------------------
                      |               Robust
      program_support | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
----------------------+----------------------------------------------------------------
           cat_a_time |
             2 years  |  -.0340291    .040741    -0.84   0.404    -.1010896    .0330314
             4 years  |     .03434   .0397438     0.86   0.388     -.031079     .099759
             8 years  |   .0495117   .0411391     1.20   0.229     -.018204    .1172273
                      |
               libcon |
        Conservative  |  -.4429034   .0858224    -5.16   0.000    -.5841688   -.3016381
                      |
    cat_a_time#libcon |
2 years#Conservative  |   .1777944     .07394     2.40   0.016     .0560877     .299501
4 years#Conservative  |   .0585279   .0752946     0.78   0.437    -.0654084    .1824642
8 years#Conservative  |   -.007833   .0764776    -0.10   0.918    -.1337165    .1180504
                      |
                _cons |   4.867206   .0419454   116.04   0.000     4.798163    4.936249
---------------------------------------------------------------------------------------

. testparm i.cat_a_time#i.libcon

 ( 1)  2.cat_a_time#1.libcon = 0
 ( 2)  3.cat_a_time#1.libcon = 0
 ( 3)  4.cat_a_time#1.libcon = 0

       F(  3,  1309) =    2.72
            Prob > F =    0.0434

. 
. *program support (all respondents)
. reg program_support i.cat_a_time##i.libcon, cl(id)

Linear regression                               Number of obs     =     26,384
                                                F(7, 1648)        =       4.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0079
                                                Root MSE          =     1.6721

                                          (Std. err. adjusted for 1,649 clusters in id)
---------------------------------------------------------------------------------------
                      |               Robust
      program_support | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
----------------------+----------------------------------------------------------------
           cat_a_time |
             2 years  |   -.004668   .0355578    -0.13   0.896    -.0631883    .0538522
             4 years  |   .0593165   .0349147     1.70   0.090     .0018547    .1167784
             8 years  |   .0602261   .0360606     1.67   0.095     .0008783    .1195738
                      |
               libcon |
        Conservative  |  -.3194554   .0761253    -4.20   0.000    -.4447407     -.19417
                      |
    cat_a_time#libcon |
2 years#Conservative  |    .104854   .0637348     1.65   0.100    -.0000394    .2097474
4 years#Conservative  |    .005992   .0649862     0.09   0.927    -.1009608    .1129448
8 years#Conservative  |  -.0316925   .0665449    -0.48   0.634    -.1412106    .0778256
                      |
                _cons |   4.959981   .0382225   129.77   0.000     4.897075    5.022887
---------------------------------------------------------------------------------------

. testparm i.cat_a_time#i.libcon

 ( 1)  2.cat_a_time#1.libcon = 0
 ( 2)  3.cat_a_time#1.libcon = 0
 ( 3)  4.cat_a_time#1.libcon = 0

       F(  3,  1648) =    1.70
            Prob > F =    0.1643

. 
. **H5(P) The positive effect of policy descriptions that mention work or self-sufficiency
>  (as opposed to descriptions that do not mention these concepts) will be greater for con
> servatives than for liberals.
. *forced choice (dropping least attentive respondents)
. reg program_choice i.workself##i.libcon eitc_tanf if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     20,960
                                                F(4, 1309)        =       3.19
                                                Prob > F          =     0.0129
                                                R-squared         =     0.0008
                                                Root MSE          =     .49986

                                    (Std. err. adjusted for 1,310 clusters in id)
---------------------------------------------------------------------------------
                |               Robust
 program_choice | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
----------------+----------------------------------------------------------------
     1.workself |   .0041209   .0085706     0.48   0.631    -.0099865    .0182284
                |
         libcon |
  Conservative  |   .0040235   .0068231     0.59   0.555    -.0072074    .0152544
                |
workself#libcon |
1#Conservative  |   -.008077   .0138617    -0.58   0.560    -.0308936    .0147395
                |
      eitc_tanf |  -.0276943   .0079043    -3.50   0.000    -.0407049   -.0146838
          _cons |   .5118729   .0057344    89.26   0.000      .502434    .5213119
---------------------------------------------------------------------------------

. testparm i.workself#i.libcon

 ( 1)  1.workself#1.libcon = 0

       F(  1,  1309) =    0.34
            Prob > F =    0.5602

. 
. *forced choice (all respondents)
. reg program_choice i.workself##i.libcon eitc_tanf, cl(id)

Linear regression                               Number of obs     =     26,384
                                                F(4, 1648)        =       3.44
                                                Prob > F          =     0.0083
                                                R-squared         =     0.0006
                                                Root MSE          =     .49989

                                    (Std. err. adjusted for 1,649 clusters in id)
---------------------------------------------------------------------------------
                |               Robust
 program_choice | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
----------------+----------------------------------------------------------------
     1.workself |  -.0005881   .0076304    -0.08   0.939    -.0131461    .0119699
                |
         libcon |
  Conservative  |   .0038936     .00603     0.65   0.519    -.0060305    .0138176
                |
workself#libcon |
1#Conservative  |  -.0078677   .0122552    -0.64   0.521     -.028037    .0123017
                |
      eitc_tanf |  -.0243099   .0068582    -3.54   0.000    -.0355969   -.0130228
          _cons |   .5125442   .0050866   100.76   0.000     .5041727    .5209157
---------------------------------------------------------------------------------

. testparm i.workself#i.libcon

 ( 1)  1.workself#1.libcon = 0

       F(  1,  1648) =    0.41
            Prob > F =    0.5210

. 
. *program support (dropping least attentive respondents)
. reg program_support i.workself##i.libcon eitc_tanf if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     20,960
                                                F(4, 1309)        =      11.05
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0129
                                                Root MSE          =     1.6946

                                    (Std. err. adjusted for 1,310 clusters in id)
---------------------------------------------------------------------------------
                |               Robust
program_support | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
----------------+----------------------------------------------------------------
     1.workself |   .0313808   .0281465     1.11   0.265    -.0149488    .0777105
                |
         libcon |
  Conservative  |  -.3488235   .0739348    -4.72   0.000    -.4705215   -.2271255
                |
workself#libcon |
1#Conservative  |  -.0754672   .0511936    -1.47   0.141    -.1597328    .0087984
                |
      eitc_tanf |  -.0863109   .0264558    -3.26   0.001    -.1298576   -.0427642
          _cons |   4.907482    .038874   126.24   0.000     4.843495    4.971469
---------------------------------------------------------------------------------

. testparm i.workself#i.libcon

 ( 1)  1.workself#1.libcon = 0

       F(  1,  1309) =    2.17
            Prob > F =    0.1407

. 
. *program support (all respondents)
. reg program_support i.workself##i.libcon eitc_tanf, cl(id)

Linear regression                               Number of obs     =     26,384
                                                F(4, 1648)        =       8.40
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0080
                                                Root MSE          =     1.6719

                                    (Std. err. adjusted for 1,649 clusters in id)
---------------------------------------------------------------------------------
                |               Robust
program_support | Coefficient  std. err.      t    P>|t|     [90% conf. interval]
----------------+----------------------------------------------------------------
     1.workself |   .0158062   .0246945     0.64   0.522    -.0248355    .0564479
                |
         libcon |
  Conservative  |  -.2827051   .0657789    -4.30   0.000    -.3909626   -.1744476
                |
workself#libcon |
1#Conservative  |  -.0342965   .0446329    -0.77   0.442    -.1077523    .0391594
                |
      eitc_tanf |  -.0697349   .0227316    -3.07   0.002    -.1071462   -.0323237
          _cons |   5.016035   .0349631   143.47   0.000     4.958493    5.073576
---------------------------------------------------------------------------------

. testparm i.workself#i.libcon

 ( 1)  1.workself#1.libcon = 0

       F(  1,  1648) =    0.59
            Prob > F =    0.4424

. 
. *********************************************************************************
. //Appendix
. //Appendix B. Descriptive Statistics of Survey Sample
. **table B.2.
. codebook pid_7 age_ordinal white educ_new female income ideology if expand == 1

------------------------------------------------------------------------------------------
pid_7                                                       Party identification (7-point)
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: pid_7

                 Range: [1,7]                         Units: 1
         Unique values: 7                         Missing .: 4/2,177

            Tabulation: Freq.   Numeric  Label
                          881         1  Strong Democrat
                          264         2  Weak Democrat
                          169         3  Lean Democrat
                          164         4  Independent
                          155         5  Lean Republican
                          135         6  Weak Republican
                          405         7  Strong Republican
                            4         .  

------------------------------------------------------------------------------------------
age_ordinal                                                         Age (6-category scale)
------------------------------------------------------------------------------------------

                  Type: Numeric (long)
                 Label: age

                 Range: [1,6]                         Units: 1
         Unique values: 6                         Missing .: 3/2,177

            Tabulation: Freq.   Numeric  Label
                          782         1  18-29
                          699         2  30-39
                          393         3  40-49
                          191         4  50-59
                           68         5  60-65
                           41         6  65+
                            3         .  

------------------------------------------------------------------------------------------
white                                                                                White
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: white

                 Range: [0,1]                         Units: 1
         Unique values: 2                         Missing .: 0/2,177

            Tabulation: Freq.   Numeric  Label
                          468         0  Non-white
                        1,709         1  White

------------------------------------------------------------------------------------------
educ_new                                                                         Education
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: educ_new

                 Range: [1,6]                         Units: 1
         Unique values: 6                         Missing .: 0/2,177

            Tabulation: Freq.   Numeric  Label
                           10         1  No HS
                          151         2  High school graduate
                          315         3  Some college
                          163         4  2-year college degree
                        1,169         5  4-year college degree
                          369         6  Postgraduate degree (MA, MBA,
                                         MD, JD, PhD, etc.)

------------------------------------------------------------------------------------------
female                                                                              Female
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: female

                 Range: [0,1]                         Units: 1
         Unique values: 2                         Missing .: 0/2,177

            Tabulation: Freq.   Numeric  Label
                        1,099         0  Male
                        1,078         1  Female

------------------------------------------------------------------------------------------
income                                                                              Income
------------------------------------------------------------------------------------------

                  Type: Numeric (long)
                 Label: income

                 Range: [1,16]                        Units: 1
         Unique values: 16                        Missing .: 3/2,177

              Examples: 3     $20,000 - $29,999
                        5     $40,000 - $49,999
                        6     $50,000 - $59,999
                        8     $70,000 - $79,999

------------------------------------------------------------------------------------------
ideology                                                                          Ideology
------------------------------------------------------------------------------------------

                  Type: Numeric (long)
                 Label: ideology

                 Range: [1,5]                         Units: 1
         Unique values: 5                         Missing .: 1/2,177

            Tabulation: Freq.   Numeric  Label
                          355         1  Very liberal
                          670         2  Liberal
                          527         3  Moderate
                          401         4  Conservative
                          223         5  Very conservative
                            1         .  

. estpost summarize pid_7 age_ordinal white educ_new female income ideology if expand == 1

             |  e(count)   e(sum_w)    e(mean)     e(Var)      e(sd)     e(min) 
-------------+------------------------------------------------------------------
       pid_7 |      2173       2173   3.217671   5.600387   2.366514          1 
 age_ordinal |      2174       2174   2.166053   1.448253   1.203434          1 
       white |      2177       2177   .7850253   .1688382   .4108992          0 
    educ_new |      2177       2177   4.578778    1.34409   1.159349          1 
      female |      2177       2177   .4951768   .2500916   .5000916          0 
      income |      2174       2174   5.944342   7.925571   2.815239          1 
    ideology |      2176       2176   2.755055   1.495377   1.222856          1 

             |    e(max)     e(sum) 
-------------+----------------------
       pid_7 |         7       6992 
 age_ordinal |         6       4709 
       white |         1       1709 
    educ_new |         6       9968 
      female |         1       1078 
      income |        16      12923 
    ideology |         5       5995 

. 
. //Part one. Estimate AMCEs with ideological subgroups
. **forced choice
. *table G.1. (all respondents)
. conjoint program_choice cat_a_desc cat_a_prob1 cat_a_prob2 cat_a_funding cat_a_cost cat_
> a_number cat_a_time, est(amce) id(id) constraint(cat_a_desc#cat_a_prob1#cat_a_prob2) sub
> group(ideo3)
------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Liberal
Number of observations = 16400
Number of respondents = 1025

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |   0.0023    0.0109    0.2089    0.8346   -0.0157    0.0202 
   TANF basic description |  -0.0372    0.0316   -1.1759    0.2399   -0.0892    0.0149 
TANF self sufficient de~n |  -0.0386    0.0315   -1.2275    0.2199   -0.0904    0.0132 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.0864    0.0141   -6.1105    0.0000   -0.1097   -0.0631 
EITC inadequacy unemplo~e |  -0.0562    0.0146   -3.8550    0.0001   -0.0802   -0.0322 
TANF inadequacy most do~i |  -0.0919    0.0136   -6.7531    0.0000   -0.1143   -0.0695 
TANF inadequacy benefit~a |  -0.0380    0.0138   -2.7565    0.0059   -0.0608   -0.0153 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.0429    0.0140   -3.0603    0.0023   -0.0660   -0.0198 
EITC fraud paid preparers |  -0.0407    0.0142   -2.8612    0.0043   -0.0641   -0.0173 
   TANF fraud easy to lie |  -0.0435    0.0139   -3.1302    0.0018   -0.0664   -0.0206 
TANF fraud improper pay~s |  -0.0719    0.0139   -5.1650    0.0000   -0.0949   -0.0490 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |  -0.0182    0.0099   -1.8301    0.0675   -0.0345   -0.0018 
        Federal and state |   0.0079    0.0095    0.8265    0.4087   -0.0078    0.0235 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |  -0.0081    0.0109   -0.7430    0.4577   -0.0261    0.0099 
               53 billion |  -0.0080    0.0121   -0.6592    0.5099   -0.0279    0.0119 
               70 billion |   0.0057    0.0124    0.4544    0.6496   -0.0148    0.0261 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |   0.0262    0.0109    2.4026    0.0165    0.0083    0.0442 
        17 million people |   0.0721    0.0110    6.5370    0.0000    0.0539    0.0903 
        25 million people |   0.0896    0.0117    7.6421    0.0000    0.0703    0.1089 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |  -0.0224    0.0117   -1.9125    0.0561   -0.0417   -0.0031 
                  4 years |   0.0092    0.0113    0.8138    0.4159   -0.0094    0.0279 
                  8 years |   0.0306    0.0114    2.6818    0.0074    0.0118    0.0493 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2

------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Moderate
Number of observations = 8432
Number of respondents = 527

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |   0.0081    0.0160    0.5105    0.6099   -0.0182    0.0344 
   TANF basic description |   0.0547    0.0485    1.1281    0.2598   -0.0252    0.1346 
TANF self sufficient de~n |   0.0842    0.0450    1.8711    0.0619    0.0101    0.1584 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.0319    0.0203   -1.5721    0.1165   -0.0653    0.0015 
EITC inadequacy unemplo~e |  -0.0392    0.0191   -2.0494    0.0409   -0.0707   -0.0077 
TANF inadequacy most do~i |  -0.0677    0.0193   -3.5124    0.0005   -0.0995   -0.0360 
TANF inadequacy benefit~a |  -0.0417    0.0188   -2.2221    0.0267   -0.0726   -0.0108 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.0314    0.0190   -1.6532    0.0989   -0.0627   -0.0001 
EITC fraud paid preparers |  -0.0460    0.0192   -2.3963    0.0169   -0.0776   -0.0144 
   TANF fraud easy to lie |  -0.0798    0.0207   -3.8594    0.0001   -0.1139   -0.0457 
TANF fraud improper pay~s |  -0.0903    0.0207   -4.3626    0.0000   -0.1244   -0.0562 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |   0.0156    0.0144    1.0862    0.2779   -0.0081    0.0393 
        Federal and state |   0.0293    0.0135    2.1687    0.0305    0.0070    0.0516 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |  -0.0518    0.0155   -3.3490    0.0009   -0.0773   -0.0263 
               53 billion |  -0.0558    0.0165   -3.3926    0.0007   -0.0830   -0.0287 
               70 billion |  -0.0517    0.0173   -2.9804    0.0030   -0.0802   -0.0231 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |  -0.0122    0.0152   -0.8015    0.4232   -0.0371    0.0128 
        17 million people |   0.0279    0.0156    1.7881    0.0743    0.0022    0.0535 
        25 million people |   0.0637    0.0166    3.8382    0.0001    0.0364    0.0911 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |   0.0417    0.0172    2.4214    0.0158    0.0133    0.0701 
                  4 years |   0.0364    0.0170    2.1345    0.0333    0.0083    0.0644 
                  8 years |   0.0331    0.0166    1.9912    0.0470    0.0057    0.0605 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2

------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Conservative
Number of observations = 9984
Number of respondents = 624

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |  -0.0101    0.0137   -0.7381    0.4607   -0.0326    0.0124 
   TANF basic description |   0.0371    0.0431    0.8602    0.3900   -0.0339    0.1081 
TANF self sufficient de~n |   0.0476    0.0432    1.1024    0.2707   -0.0235    0.1188 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.0085    0.0176   -0.4833    0.6291   -0.0376    0.0205 
EITC inadequacy unemplo~e |  -0.0373    0.0172   -2.1697    0.0304   -0.0656   -0.0090 
TANF inadequacy most do~i |  -0.0421    0.0180   -2.3392    0.0196   -0.0717   -0.0124 
TANF inadequacy benefit~a |  -0.0609    0.0177   -3.4436    0.0006   -0.0900   -0.0317 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |   0.0020    0.0176    0.1164    0.9074   -0.0269    0.0310 
EITC fraud paid preparers |  -0.0267    0.0180   -1.4857    0.1379   -0.0564    0.0029 
   TANF fraud easy to lie |  -0.0446    0.0175   -2.5449    0.0112   -0.0734   -0.0157 
TANF fraud improper pay~s |  -0.0604    0.0177   -3.4067    0.0007   -0.0895   -0.0312 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |   0.0138    0.0130    1.0552    0.2917   -0.0077    0.0352 
        Federal and state |   0.0126    0.0119    1.0593    0.2899   -0.0070    0.0323 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |   0.0174    0.0145    1.1965    0.2320   -0.0066    0.0413 
               53 billion |  -0.0207    0.0160   -1.3000    0.1941   -0.0470    0.0055 
               70 billion |  -0.0440    0.0167   -2.6313    0.0087   -0.0716   -0.0165 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |   0.0414    0.0137    3.0137    0.0027    0.0188    0.0640 
        17 million people |   0.0239    0.0144    1.6615    0.0971    0.0002    0.0476 
        25 million people |   0.0654    0.0156    4.1881    0.0000    0.0397    0.0911 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |   0.0570    0.0156    3.6431    0.0003    0.0312    0.0828 
                  4 years |   0.0513    0.0150    3.4223    0.0007    0.0266    0.0760 
                  8 years |   0.0305    0.0148    2.0561    0.0402    0.0061    0.0549 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2


. 
. *table G.2. (dropping least attentive respondents)
. conjoint program_choice cat_a_desc cat_a_prob1 cat_a_prob2 cat_a_funding cat_a_cost cat_
> a_number cat_a_time if screener_2plus==1, est(amce) id(id) constraint(cat_a_desc#cat_a_p
> rob1#cat_a_prob2) subgroup(ideo3) 
------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Liberal
Number of observations = 12960
Number of respondents = 810

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |   0.0069    0.0123    0.5580    0.5770   -0.0134    0.0272 
   TANF basic description |  -0.0554    0.0347   -1.5982    0.1104   -0.1126    0.0017 
TANF self sufficient de~n |  -0.0410    0.0347   -1.1836    0.2369   -0.0981    0.0160 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.1104    0.0158   -6.9866    0.0000   -0.1364   -0.0844 
EITC inadequacy unemplo~e |  -0.0736    0.0160   -4.5968    0.0000   -0.0999   -0.0472 
TANF inadequacy most do~i |  -0.1114    0.0155   -7.1983    0.0000   -0.1369   -0.0859 
TANF inadequacy benefit~a |  -0.0556    0.0156   -3.5558    0.0004   -0.0814   -0.0299 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.0561    0.0157   -3.5721    0.0004   -0.0819   -0.0302 
EITC fraud paid preparers |  -0.0643    0.0161   -4.0029    0.0001   -0.0907   -0.0378 
   TANF fraud easy to lie |  -0.0763    0.0157   -4.8657    0.0000   -0.1022   -0.0505 
TANF fraud improper pay~s |  -0.0935    0.0157   -5.9386    0.0000   -0.1195   -0.0676 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |  -0.0272    0.0113   -2.4052    0.0164   -0.0459   -0.0086 
        Federal and state |   0.0086    0.0108    0.7959    0.4263   -0.0092    0.0264 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |  -0.0033    0.0123   -0.2696    0.7875   -0.0235    0.0169 
               53 billion |  -0.0073    0.0136   -0.5347    0.5930   -0.0296    0.0151 
               70 billion |   0.0093    0.0141    0.6641    0.5068   -0.0138    0.0325 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |   0.0285    0.0119    2.3970    0.0168    0.0089    0.0480 
        17 million people |   0.0846    0.0123    6.8896    0.0000    0.0644    0.1049 
        25 million people |   0.1082    0.0132    8.1719    0.0000    0.0864    0.1300 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |  -0.0316    0.0132   -2.3928    0.0169   -0.0534   -0.0099 
                  4 years |   0.0001    0.0130    0.0071    0.9943   -0.0212    0.0214 
                  8 years |   0.0246    0.0126    1.9486    0.0517    0.0038    0.0453 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2

------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Moderate
Number of observations = 6912
Number of respondents = 432

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |   0.0064    0.0177    0.3591    0.7197   -0.0228    0.0355 
   TANF basic description |   0.0458    0.0548    0.8368    0.4032   -0.0445    0.1361 
TANF self sufficient de~n |   0.0851    0.0493    1.7261    0.0851    0.0038    0.1665 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.0536    0.0225   -2.3798    0.0178   -0.0907   -0.0165 
EITC inadequacy unemplo~e |  -0.0572    0.0213   -2.6809    0.0076   -0.0924   -0.0220 
TANF inadequacy most do~i |  -0.0842    0.0215   -3.9162    0.0001   -0.1196   -0.0487 
TANF inadequacy benefit~a |  -0.0434    0.0209   -2.0792    0.0382   -0.0779   -0.0090 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.0464    0.0208   -2.2344    0.0260   -0.0806   -0.0122 
EITC fraud paid preparers |  -0.0596    0.0217   -2.7481    0.0062   -0.0954   -0.0239 
   TANF fraud easy to lie |  -0.1024    0.0235   -4.3606    0.0000   -0.1411   -0.0637 
TANF fraud improper pay~s |  -0.1114    0.0234   -4.7634    0.0000   -0.1500   -0.0729 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |   0.0107    0.0158    0.6762    0.4993   -0.0153    0.0366 
        Federal and state |   0.0187    0.0146    1.2798    0.2013   -0.0054    0.0427 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |  -0.0653    0.0172   -3.8028    0.0002   -0.0937   -0.0370 
               53 billion |  -0.0670    0.0187   -3.5855    0.0004   -0.0978   -0.0362 
               70 billion |  -0.0651    0.0195   -3.3424    0.0009   -0.0972   -0.0330 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |  -0.0209    0.0166   -1.2564    0.2097   -0.0483    0.0065 
        17 million people |   0.0322    0.0169    1.9067    0.0572    0.0044    0.0600 
        25 million people |   0.0653    0.0181    3.6013    0.0004    0.0354    0.0952 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |   0.0230    0.0190    1.2087    0.2275   -0.0084    0.0543 
                  4 years |   0.0318    0.0191    1.6639    0.0969    0.0003    0.0633 
                  8 years |   0.0202    0.0184    1.1011    0.2715   -0.0100    0.0505 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2

------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Conservative
Number of observations = 8000
Number of respondents = 500

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |  -0.0121    0.0154   -0.7872    0.4316   -0.0374    0.0132 
   TANF basic description |   0.0456    0.0474    0.9618    0.3366   -0.0325    0.1237 
TANF self sufficient de~n |   0.0207    0.0483    0.4290    0.6681   -0.0589    0.1003 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.0067    0.0196   -0.3420    0.7325   -0.0390    0.0256 
EITC inadequacy unemplo~e |  -0.0300    0.0190   -1.5778    0.1152   -0.0614    0.0013 
TANF inadequacy most do~i |  -0.0455    0.0202   -2.2486    0.0250   -0.0789   -0.0122 
TANF inadequacy benefit~a |  -0.0454    0.0200   -2.2684    0.0237   -0.0784   -0.0124 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.0077    0.0193   -0.3982    0.6907   -0.0396    0.0242 
EITC fraud paid preparers |  -0.0375    0.0202   -1.8577    0.0638   -0.0707   -0.0042 
   TANF fraud easy to lie |  -0.0576    0.0197   -2.9316    0.0035   -0.0900   -0.0252 
TANF fraud improper pay~s |  -0.0730    0.0200   -3.6465    0.0003   -0.1061   -0.0400 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |   0.0088    0.0149    0.5878    0.5569   -0.0158    0.0334 
        Federal and state |   0.0098    0.0138    0.7126    0.4764   -0.0129    0.0326 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |   0.0117    0.0163    0.7204    0.4716   -0.0151    0.0386 
               53 billion |  -0.0305    0.0177   -1.7240    0.0853   -0.0596   -0.0013 
               70 billion |  -0.0672    0.0188   -3.5651    0.0004   -0.0982   -0.0361 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |   0.0384    0.0155    2.4672    0.0140    0.0127    0.0640 
        17 million people |   0.0330    0.0161    2.0520    0.0407    0.0065    0.0595 
        25 million people |   0.0712    0.0177    4.0230    0.0001    0.0420    0.1003 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |   0.0677    0.0172    3.9384    0.0001    0.0393    0.0960 
                  4 years |   0.0545    0.0169    3.2172    0.0014    0.0266    0.0824 
                  8 years |   0.0405    0.0163    2.4901    0.0131    0.0137    0.0673 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2


. matrix liberal_choice_2plus = e(results_Liberal)

. matrix moderate_choice_2plus = e(results_Moderate)

. matrix conservative_choice_2plus = e(results_Conservative)

. 
. **program support
. *table G.3. (all respondents)
. conjoint program_support cat_a_desc cat_a_prob1 cat_a_prob2 cat_a_funding cat_a_cost cat
> _a_number cat_a_time, est(amce) id(id) constraint(cat_a_desc#cat_a_prob1#cat_a_prob2) su
> bgroup(ideo3)
------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Liberal
Number of observations = 16400
Number of respondents = 1025

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |   0.0337    0.0321    1.0504    0.2938   -0.0191    0.0866 
   TANF basic description |  -0.0168    0.0992   -0.1692    0.8657   -0.1801    0.1466 
TANF self sufficient de~n |  -0.1292    0.1033   -1.2510    0.2112   -0.2993    0.0408 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.1683    0.0431   -3.9023    0.0001   -0.2393   -0.0973 
EITC inadequacy unemplo~e |  -0.1443    0.0443   -3.2562    0.0012   -0.2172   -0.0713 
TANF inadequacy most do~i |  -0.2510    0.0448   -5.6069    0.0000   -0.3247   -0.1773 
TANF inadequacy benefit~a |  -0.0465    0.0440   -1.0562    0.2911   -0.1189    0.0260 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.1379    0.0437   -3.1546    0.0017   -0.2098   -0.0659 
EITC fraud paid preparers |  -0.1264    0.0438   -2.8871    0.0040   -0.1984   -0.0543 
   TANF fraud easy to lie |  -0.1380    0.0445   -3.0997    0.0020   -0.2113   -0.0647 
TANF fraud improper pay~s |  -0.2143    0.0443   -4.8378    0.0000   -0.2872   -0.1414 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |  -0.0536    0.0296   -1.8095    0.0707   -0.1024   -0.0048 
        Federal and state |   0.0129    0.0315    0.4085    0.6830   -0.0390    0.0647 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |   0.0394    0.0343    1.1490    0.2508   -0.0171    0.0959 
               53 billion |  -0.0013    0.0346   -0.0373    0.9702   -0.0582    0.0556 
               70 billion |   0.0341    0.0372    0.9173    0.3592   -0.0271    0.0953 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |   0.0651    0.0337    1.9328    0.0535    0.0096    0.1205 
        17 million people |   0.1208    0.0361    3.3480    0.0008    0.0614    0.1801 
        25 million people |   0.1796    0.0362    4.9585    0.0000    0.1199    0.2392 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |  -0.0017    0.0354   -0.0468    0.9626   -0.0600    0.0566 
                  4 years |   0.0639    0.0350    1.8232    0.0686    0.0062    0.1215 
                  8 years |   0.0599    0.0359    1.6661    0.0960    0.0007    0.1190 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2

------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Moderate
Number of observations = 8432
Number of respondents = 527

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |   0.0130    0.0505    0.2573    0.7970   -0.0702    0.0961 
   TANF basic description |   0.2796    0.1395    2.0042    0.0456    0.0497    0.5095 
TANF self sufficient de~n |   0.2137    0.1442    1.4819    0.1390   -0.0239    0.4512 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.1228    0.0689   -1.7820    0.0753   -0.2363   -0.0092 
EITC inadequacy unemplo~e |  -0.0873    0.0628   -1.3918    0.1646   -0.1908    0.0161 
TANF inadequacy most do~i |  -0.2461    0.0681   -3.6134    0.0003   -0.3584   -0.1339 
TANF inadequacy benefit~a |  -0.1920    0.0638   -3.0071    0.0028   -0.2971   -0.0868 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.0973    0.0622   -1.5634    0.1186   -0.1997    0.0052 
EITC fraud paid preparers |  -0.2808    0.0671   -4.1868    0.0000   -0.3912   -0.1703 
   TANF fraud easy to lie |  -0.2542    0.0675   -3.7631    0.0002   -0.3655   -0.1429 
TANF fraud improper pay~s |  -0.2592    0.0705   -3.6798    0.0003   -0.3753   -0.1432 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |   0.0041    0.0444    0.0926    0.9263   -0.0691    0.0773 
        Federal and state |   0.0615    0.0442    1.3908    0.1649   -0.0114    0.1343 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |  -0.0939    0.0542   -1.7329    0.0837   -0.1832   -0.0046 
               53 billion |  -0.0405    0.0501   -0.8077    0.4196   -0.1230    0.0421 
               70 billion |  -0.1331    0.0564   -2.3575    0.0188   -0.2261   -0.0401 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |  -0.0236    0.0500   -0.4711    0.6378   -0.1059    0.0588 
        17 million people |   0.0195    0.0505    0.3855    0.7000   -0.0638    0.1027 
        25 million people |   0.1446    0.0509    2.8403    0.0047    0.0607    0.2285 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |   0.1284    0.0563    2.2814    0.0229    0.0357    0.2211 
                  4 years |   0.1107    0.0530    2.0885    0.0372    0.0234    0.1980 
                  8 years |   0.1437    0.0548    2.6222    0.0090    0.0534    0.2339 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2

------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Conservative
Number of observations = 9984
Number of respondents = 624

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |  -0.1010    0.0526   -1.9212    0.0552   -0.1876   -0.0144 
   TANF basic description |  -0.0787    0.1615   -0.4872    0.6263   -0.3448    0.1874 
TANF self sufficient de~n |   0.1042    0.1568    0.6649    0.5063   -0.1540    0.3625 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.0751    0.0656   -1.1442    0.2530   -0.1832    0.0330 
EITC inadequacy unemplo~e |  -0.1436    0.0642   -2.2357    0.0257   -0.2494   -0.0378 
TANF inadequacy most do~i |  -0.0645    0.0650   -0.9919    0.3216   -0.1715    0.0426 
TANF inadequacy benefit~a |  -0.0698    0.0631   -1.1069    0.2688   -0.1737    0.0341 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.0091    0.0625   -0.1461    0.8839   -0.1120    0.0938 
EITC fraud paid preparers |  -0.0180    0.0640   -0.2818    0.7782   -0.1234    0.0873 
   TANF fraud easy to lie |  -0.0962    0.0645   -1.4918    0.1363   -0.2024    0.0100 
TANF fraud improper pay~s |  -0.1171    0.0662   -1.7689    0.0774   -0.2262   -0.0081 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |   0.0975    0.0479    2.0367    0.0421    0.0186    0.1763 
        Federal and state |   0.0780    0.0418    1.8685    0.0622    0.0092    0.1468 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |   0.0049    0.0506    0.0973    0.9225   -0.0784    0.0883 
               53 billion |  -0.0080    0.0517   -0.1545    0.8772   -0.0932    0.0772 
               70 billion |  -0.1462    0.0550   -2.6571    0.0081   -0.2368   -0.0556 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |   0.0263    0.0518    0.5072    0.6122   -0.0590    0.1115 
        17 million people |   0.0873    0.0502    1.7381    0.0827    0.0046    0.1700 
        25 million people |   0.1402    0.0540    2.5979    0.0096    0.0513    0.2290 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |   0.0991    0.0530    1.8686    0.0622    0.0117    0.1864 
                  4 years |   0.0696    0.0547    1.2729    0.2035   -0.0205    0.1597 
                  8 years |   0.0205    0.0559    0.3675    0.7134   -0.0715    0.1126 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2


. matrix liberal_support = e(results_Liberal)

. matrix moderate_support = e(results_Moderate)

. matrix conservative_support = e(results_Conservative)

. 
. *table G.4. (dropping least attentive respondents)
. conjoint program_support cat_a_desc cat_a_prob1 cat_a_prob2 cat_a_funding cat_a_cost cat
> _a_number cat_a_time if screener_2plus==1, est(amce) id(id) constraint(cat_a_desc#cat_a_
> prob1#cat_a_prob2) subgroup(ideo3)
------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Liberal
Number of observations = 12960
Number of respondents = 810

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |   0.0659    0.0362    1.8211    0.0690    0.0063    0.1255 
   TANF basic description |   0.0534    0.1133    0.4710    0.6378   -0.1332    0.2399 
TANF self sufficient de~n |  -0.0863    0.1177   -0.7335    0.4635   -0.2802    0.1075 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.2388    0.0486   -4.9126    0.0000   -0.3188   -0.1587 
EITC inadequacy unemplo~e |  -0.1724    0.0500   -3.4466    0.0006   -0.2548   -0.0900 
TANF inadequacy most do~i |  -0.3318    0.0518   -6.4096    0.0000   -0.4170   -0.2465 
TANF inadequacy benefit~a |  -0.0809    0.0510   -1.5870    0.1129   -0.1649    0.0030 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.1600    0.0491   -3.2624    0.0012   -0.2408   -0.0793 
EITC fraud paid preparers |  -0.1898    0.0491   -3.8646    0.0001   -0.2706   -0.1089 
   TANF fraud easy to lie |  -0.2042    0.0512   -3.9856    0.0001   -0.2885   -0.1198 
TANF fraud improper pay~s |  -0.2832    0.0507   -5.5804    0.0000   -0.3667   -0.1996 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |  -0.0622    0.0337   -1.8456    0.0653   -0.1176   -0.0067 
        Federal and state |   0.0012    0.0366    0.0319    0.9746   -0.0591    0.0614 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |   0.0581    0.0390    1.4881    0.1371   -0.0062    0.1224 
               53 billion |   0.0005    0.0392    0.0131    0.9895   -0.0640    0.0650 
               70 billion |   0.0530    0.0416    1.2761    0.2023   -0.0154    0.1215 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |   0.0714    0.0380    1.8775    0.0608    0.0088    0.1340 
        17 million people |   0.1381    0.0405    3.4108    0.0007    0.0714    0.2048 
        25 million people |   0.2025    0.0413    4.9043    0.0000    0.1345    0.2705 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |  -0.0282    0.0404   -0.6977    0.4856   -0.0948    0.0384 
                  4 years |   0.0419    0.0399    1.0510    0.2936   -0.0238    0.1076 
                  8 years |   0.0495    0.0409    1.2087    0.2271   -0.0179    0.1169 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2

------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Moderate
Number of observations = 6912
Number of respondents = 432

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |   0.0276    0.0566    0.4883    0.6256   -0.0656    0.1209 
   TANF basic description |   0.3569    0.1543    2.3134    0.0212    0.1026    0.6113 
TANF self sufficient de~n |   0.2940    0.1630    1.8041    0.0719    0.0254    0.5626 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.0989    0.0766   -1.2924    0.1969   -0.2251    0.0273 
EITC inadequacy unemplo~e |  -0.0794    0.0706   -1.1243    0.2615   -0.1957    0.0370 
TANF inadequacy most do~i |  -0.2974    0.0776   -3.8333    0.0001   -0.4253   -0.1695 
TANF inadequacy benefit~a |  -0.2467    0.0722   -3.4164    0.0007   -0.3658   -0.1277 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.1436    0.0692   -2.0763    0.0385   -0.2576   -0.0296 
EITC fraud paid preparers |  -0.3692    0.0728   -5.0696    0.0000   -0.4892   -0.2491 
   TANF fraud easy to lie |  -0.2998    0.0775   -3.8700    0.0001   -0.4275   -0.1721 
TANF fraud improper pay~s |  -0.2914    0.0803   -3.6294    0.0003   -0.4237   -0.1590 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |  -0.0413    0.0499   -0.8283    0.4080   -0.1235    0.0409 
        Federal and state |   0.0215    0.0488    0.4413    0.6592   -0.0589    0.1020 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |  -0.0818    0.0607   -1.3480    0.1784   -0.1817    0.0182 
               53 billion |  -0.0192    0.0567   -0.3382    0.7354   -0.1126    0.0743 
               70 billion |  -0.1233    0.0623   -1.9799    0.0483   -0.2259   -0.0206 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |  -0.0308    0.0560   -0.5495    0.5830   -0.1232    0.0616 
        17 million people |   0.0323    0.0570    0.5667    0.5712   -0.0616    0.1262 
        25 million people |   0.1633    0.0573    2.8492    0.0046    0.0688    0.2577 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |   0.1168    0.0628    1.8588    0.0637    0.0132    0.2203 
                  4 years |   0.0672    0.0584    1.1520    0.2500   -0.0290    0.1635 
                  8 years |   0.0782    0.0613    1.2771    0.2023   -0.0227    0.1792 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2

------------------------------------------------------------------------------------------

Estimated average marginal component effects (AMCEs) 
ideo3 = Conservative
Number of observations = 8000
Number of respondents = 500

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.0000         .         .         .         .         . 
 EITC working description |  -0.1326    0.0604   -2.1950    0.0286   -0.2322   -0.0331 
   TANF basic description |  -0.0957    0.1841   -0.5197    0.6035   -0.3990    0.2077 
TANF self sufficient de~n |   0.0609    0.1821    0.3343    0.7383   -0.2392    0.3609 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC inadequacy tax time |  -0.1116    0.0755   -1.4786    0.1399   -0.2359    0.0128 
EITC inadequacy unemplo~e |  -0.1523    0.0717   -2.1253    0.0341   -0.2704   -0.0342 
TANF inadequacy most do~i |  -0.0559    0.0739   -0.7559    0.4500   -0.1777    0.0659 
TANF inadequacy benefit~a |  -0.0646    0.0719   -0.8989    0.3691   -0.1831    0.0539 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.0000         .         .         .         .         . 
 EITC fraud larger credit |  -0.0645    0.0715   -0.9025    0.3672   -0.1824    0.0533 
EITC fraud paid preparers |  -0.0539    0.0727   -0.7420    0.4584   -0.1737    0.0659 
   TANF fraud easy to lie |  -0.1037    0.0741   -1.4005    0.1620   -0.2257    0.0183 
TANF fraud improper pay~s |  -0.1596    0.0771   -2.0693    0.0390   -0.2867   -0.0325 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.0000         .         .         .         .         . 
                    State |   0.0930    0.0551    1.6882    0.0920    0.0022    0.1838 
        Federal and state |   0.0727    0.0482    1.5081    0.1322   -0.0067    0.1521 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.0000         .         .         .         .         . 
               27 billion |   0.0159    0.0577    0.2757    0.7829   -0.0792    0.1110 
               53 billion |   0.0039    0.0593    0.0657    0.9476   -0.0938    0.1016 
               70 billion |  -0.1515    0.0628   -2.4145    0.0161   -0.2549   -0.0481 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.0000         .         .         .         .         . 
         8 million people |   0.0169    0.0597    0.2825    0.7777   -0.0816    0.1153 
        17 million people |   0.1075    0.0569    1.8876    0.0597    0.0136    0.2013 
        25 million people |   0.1868    0.0617    3.0278    0.0026    0.0851    0.2884 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.0000         .         .         .         .         . 
                  2 years |   0.1424    0.0616    2.3096    0.0213    0.0408    0.2440 
                  4 years |   0.0967    0.0638    1.5160    0.1302   -0.0084    0.2018 
                  8 years |   0.0324    0.0641    0.5047    0.6140   -0.0733    0.1381 
--------------------------------------------------------------------------------------
Note: constraints between cat_a_desc#cat_a_prob1#cat_a_prob2


. matrix liberal_support_2plus = e(results_Liberal)

. matrix moderate_support_2plus = e(results_Moderate)

. matrix conservative_support_2plus = e(results_Conservative)

. 
. //Part two. AMCE by ideology (with moderates) figures
. **generating forced choice AMCE by ideology (with moderates) figures
. *figure G.1.
. coefplot  matrix(liberal_choice[,1]), bylabel(Liberal) || ///
> matrix(moderate_choice[,1]), bylabel(Moderate) || ///
> matrix(conservative_choice[,1]), bylabel(Conservative) ||, ci(( 5 6)) ///
> keep(*:) xline(0, lpattern(-) lcolor(black)) xlabel(-.1(.1).1) xtick(-.15(.05).15) coefl
> abels($labelreplace, labsize(vsmall)) eqlabels( "{bf:Policy Description}" "{bf:Policy Pr
> oblem 1}" "{bf:Policy Problem 2}" "{bf:Funding Provided by}" "{bf:Total Cost per Year}" 
> "{bf:Participant Population}" "{bf:Time Limit}", asheadings) byopts(graphregion(col(whit
> e)) cols(3)) subtitle(, fcolor (gs15)) scale(0.7) xtitle({bf:Estimated AMCEs (forced cho
> ice)})
(liberal_choice: CI1 missing for some coefficients)
(moderate_choice: CI1 missing for some coefficients)
(conservative_choice: CI1 missing for some coefficients)

. gr export Figures/choice_ideo_amce.png, as(png) replace
file Figures/choice_ideo_amce.png saved as PNG format

. 
. *figure G.2.
. coefplot  matrix(liberal_choice_2plus[,1]), bylabel(Liberal) || ///
> matrix(moderate_choice_2plus[,1]), bylabel(Moderate) || ///
> matrix(conservative_choice_2plus[,1]), bylabel(Conservative) ||, ci(( 5 6)) ///
> keep(*:) xline(0, lpattern(-) lcolor(black)) xlabel(-.1(.1).1) xtick(-.15(.05).15) coefl
> abels($labelreplace, labsize(vsmall)) eqlabels( "{bf:Policy Description}" "{bf:Policy Pr
> oblem 1}" "{bf:Policy Problem 2}" "{bf:Funding Provided by}" "{bf:Total Cost per Year}" 
> "{bf:Participant Population}" "{bf:Time Limit}", asheadings) byopts(graphregion(col(whit
> e)) cols(3)) subtitle(, fcolor (gs15)) scale(0.7) xtitle({bf:Estimated AMCEs (forced cho
> ice)})
(liberal_choice_2plus: CI1 missing for some coefficients)
(moderate_choice_2plus: CI1 missing for some coefficients)
(conservative_choice_2plus: CI1 missing for some coefficients)

. gr_edit .b2title.style.editstyle size(small) editcopy

. gr_edit .b2title.text.Arrpush Excludes least attentive respondents

. gr export Figures/choice_ideo_amce_2plus.png, as(png) replace
file Figures/choice_ideo_amce_2plus.png saved as PNG format

. 
. **generating program support AMCE by ideology (with moderates) figure
. *figure G.3.
. coefplot  matrix(liberal_support[,1]), bylabel(Liberal) || ///
> matrix(moderate_support[,1]), bylabel(Moderate) || ///
> matrix(conservative_support[,1]), bylabel(Conservative) ||, ci(( 5 6)) ///
> keep(*:) xline(0, lpattern(-) lcolor(black)) xlabel(-.4(.2).4) coeflabels($labelreplace,
>  labsize(vsmall)) eqlabels( "{bf:Policy Description}" "{bf:Policy Problem 1}" "{bf:Polic
> y Problem 2}" "{bf:Funding Provided by}" "{bf:Total Cost per Year}" "{bf:Participant Pop
> ulation}" "{bf:Time Limit}", asheadings) byopts(graphregion(col(white)) cols(3)) subtitl
> e(, fcolor (gs15)) scale(0.7) xtitle({bf:Estimated AMCEs (program support)})
(liberal_support: CI1 missing for some coefficients)
(moderate_support: CI1 missing for some coefficients)
(conservative_support: CI1 missing for some coefficients)

. gr export Figures/support_ideo_amce.png, as(png) replace
file Figures/support_ideo_amce.png saved as PNG format

. 
. *figure G.4.
. coefplot  matrix(liberal_support_2plus[,1]), bylabel(Liberal) || ///
> matrix(moderate_support_2plus[,1]), bylabel(Moderate) || ///
> matrix(conservative_support_2plus[,1]), bylabel(Conservative) ||, ci(( 5 6)) ///
> keep(*:) xline(0, lpattern(-) lcolor(black)) xlabel(-.4(.2).4) coeflabels($labelreplace,
>  labsize(vsmall)) eqlabels( "{bf:Policy Description}" "{bf:Policy Problem 1}" "{bf:Polic
> y Problem 2}" "{bf:Funding Provided by}" "{bf:Total Cost per Year}" "{bf:Participant Pop
> ulation}" "{bf:Time Limit}", asheadings) byopts(graphregion(col(white)) cols(3)) subtitl
> e(, fcolor (gs15)) scale(0.7) xtitle({bf:Estimated AMCEs (program support)}) 
(liberal_support_2plus: CI1 missing for some coefficients)
(moderate_support_2plus: CI1 missing for some coefficients)
(conservative_support_2plus: CI1 missing for some coefficients)

. gr_edit .b2title.style.editstyle size(small) editcopy

. gr_edit .b2title.text.Arrpush Excludes least attentive respondents

. gr export Figures/support_ideo_amce_2plus.png, as(png) replace
file Figures/support_ideo_amce_2plus.png saved as PNG format

. 
. //Part three. Estimate marginal means per Leeper and Barnfield 2020
. **forced choice
. *table G.5. (all respondents)
. conjoint program_choice cat_a_desc cat_a_prob1 cat_a_prob2 cat_a_funding cat_a_cost cat_
> a_number cat_a_time, est(mm) id(id) subgroup(ideo3)
------------------------------------------------------------------------------------------

Estimated marginal means (MMs) 
ideo3 = Liberal
Number of observations = 16400
Number of respondents = 1025
H0 = 0.5

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.5198    0.0069    2.8577    0.0044    0.5084    0.5312 
 EITC working description |   0.5201    0.0072    2.8013    0.0052    0.5083    0.5319 
   TANF basic description |   0.4810    0.0071   -2.6893    0.0073    0.4693    0.4926 
TANF self sufficient de~n |   0.4798    0.0070   -2.8619    0.0043    0.4682    0.4914 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.5453    0.0059    7.6852    0.0000    0.5356    0.5550 
 EITC inadequacy tax time |   0.4806    0.0090   -2.1600    0.0310    0.4658    0.4954 
EITC inadequacy unemplo~e |   0.5106    0.0096    1.0995    0.2718    0.4947    0.5264 
TANF inadequacy most do~i |   0.4326    0.0088   -7.6843    0.0000    0.4182    0.4471 
TANF inadequacy benefit~a |   0.4853    0.0093   -1.5775    0.1150    0.4699    0.5006 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.5336    0.0061    5.5042    0.0000    0.5235    0.5436 
 EITC fraud larger credit |   0.5036    0.0095    0.3790    0.7048    0.4880    0.5192 
EITC fraud paid preparers |   0.5072    0.0092    0.7898    0.4298    0.4921    0.5224 
   TANF fraud easy to lie |   0.4751    0.0090   -2.7666    0.0058    0.4602    0.4899 
TANF fraud improper pay~s |   0.4471    0.0090   -5.8503    0.0000    0.4322    0.4620 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.5026    0.0057    0.4644    0.6425    0.4933    0.5120 
                    State |   0.4855    0.0058   -2.5039    0.0124    0.4760    0.4950 
        Federal and state |   0.5117    0.0055    2.1284    0.0335    0.5026    0.5207 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.5024    0.0074    0.3260    0.7445    0.4902    0.5146 
               27 billion |   0.4942    0.0067   -0.8695    0.3848    0.4832    0.5052 
               53 billion |   0.4949    0.0069   -0.7427    0.4578    0.4836    0.5062 
               70 billion |   0.5084    0.0073    1.1515    0.2498    0.4964    0.5204 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.4526    0.0068   -6.9268    0.0000    0.4414    0.4639 
         8 million people |   0.4802    0.0068   -2.9188    0.0036    0.4690    0.4914 
        17 million people |   0.5256    0.0067    3.7940    0.0002    0.5145    0.5367 
        25 million people |   0.5424    0.0071    5.9408    0.0000    0.5306    0.5541 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.4953    0.0071   -0.6577    0.5109    0.4836    0.5070 
                  2 years |   0.4732    0.0073   -3.6953    0.0002    0.4612    0.4851 
                  4 years |   0.5040    0.0068    0.5793    0.5625    0.4927    0.5152 
                  8 years |   0.5268    0.0070    3.8290    0.0001    0.5153    0.5384 
--------------------------------------------------------------------------------------

------------------------------------------------------------------------------------------

Estimated marginal means (MMs) 
ideo3 = Moderate
Number of observations = 8432
Number of respondents = 527
H0 = 0.5

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.5097    0.0094    1.0260    0.3054    0.4941    0.5252 
 EITC working description |   0.5143    0.0105    1.3637    0.1732    0.4970    0.5315 
   TANF basic description |   0.4690    0.0099   -3.1233    0.0019    0.4526    0.4853 
TANF self sufficient de~n |   0.5075    0.0103    0.7348    0.4628    0.4906    0.5245 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.5286    0.0079    3.6281    0.0003    0.5156    0.5416 
 EITC inadequacy tax time |   0.5043    0.0128    0.3342    0.7384    0.4832    0.5254 
EITC inadequacy unemplo~e |   0.4983    0.0124   -0.1408    0.8881    0.4778    0.5187 
TANF inadequacy most do~i |   0.4544    0.0126   -3.6235    0.0003    0.4337    0.4751 
TANF inadequacy benefit~a |   0.4845    0.0127   -1.2169    0.2242    0.4636    0.5055 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.5417    0.0085    4.8909    0.0000    0.5277    0.5558 
 EITC fraud larger credit |   0.5047    0.0129    0.3675    0.7134    0.4835    0.5260 
EITC fraud paid preparers |   0.4908    0.0127   -0.7244    0.4691    0.4700    0.5117 
   TANF fraud easy to lie |   0.4659    0.0132   -2.5852    0.0100    0.4442    0.4876 
TANF fraud improper pay~s |   0.4541    0.0131   -3.5119    0.0005    0.4326    0.4756 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.4838    0.0081   -1.9985    0.0462    0.4705    0.4972 
                    State |   0.5028    0.0083    0.3380    0.7355    0.4891    0.5166 
        Federal and state |   0.5131    0.0079    1.6566    0.0982    0.5001    0.5262 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.5388    0.0101    3.8366    0.0001    0.5221    0.5554 
               27 billion |   0.4890    0.0096   -1.1491    0.2510    0.4732    0.5048 
               53 billion |   0.4852    0.0097   -1.5204    0.1290    0.4692    0.5012 
               70 billion |   0.4869    0.0105   -1.2497    0.2120    0.4696    0.5042 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.4793    0.0096   -2.1590    0.0313    0.4635    0.4951 
         8 million people |   0.4693    0.0099   -3.1155    0.0019    0.4530    0.4855 
        17 million people |   0.5079    0.0093    0.8462    0.3978    0.4925    0.5232 
        25 million people |   0.5437    0.0105    4.1777    0.0000    0.5265    0.5610 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.4734    0.0108   -2.4554    0.0144    0.4556    0.4913 
                  2 years |   0.5133    0.0101    1.3176    0.1882    0.4967    0.5300 
                  4 years |   0.5075    0.0097    0.7770    0.4375    0.4916    0.5235 
                  8 years |   0.5058    0.0100    0.5796    0.5624    0.4893    0.5223 
--------------------------------------------------------------------------------------

------------------------------------------------------------------------------------------

Estimated marginal means (MMs) 
ideo3 = Conservative
Number of observations = 9984
Number of respondents = 624
H0 = 0.5

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   0.5049    0.0082    0.5998    0.5489    0.4914    0.5185 
 EITC working description |   0.4942    0.0093   -0.6247    0.5324    0.4788    0.5095 
   TANF basic description |   0.5035    0.0089    0.3972    0.6913    0.4889    0.5181 
TANF self sufficient de~n |   0.4970    0.0088   -0.3434    0.7314    0.4825    0.5114 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   0.5245    0.0073    3.3654    0.0008    0.5125    0.5364 
 EITC inadequacy tax time |   0.5058    0.0111    0.5265    0.5987    0.4876    0.5240 
EITC inadequacy unemplo~e |   0.4780    0.0115   -1.9045    0.0573    0.4590    0.4970 
TANF inadequacy most do~i |   0.4911    0.0119   -0.7426    0.4580    0.4715    0.5108 
TANF inadequacy benefit~a |   0.4742    0.0117   -2.2041    0.0279    0.4550    0.4935 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   0.5205    0.0075    2.7511    0.0061    0.5082    0.5328 
 EITC fraud larger credit |   0.5104    0.0114    0.9149    0.3606    0.4917    0.5292 
EITC fraud paid preparers |   0.4809    0.0115   -1.6568    0.0981    0.4620    0.4999 
   TANF fraud easy to lie |   0.4914    0.0113   -0.7620    0.4464    0.4728    0.5100 
TANF fraud improper pay~s |   0.4759    0.0119   -2.0249    0.0433    0.4564    0.4955 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   0.4909    0.0073   -1.2407    0.2152    0.4789    0.5030 
                    State |   0.5045    0.0076    0.5971    0.5506    0.4920    0.5171 
        Federal and state |   0.5044    0.0069    0.6479    0.5173    0.4932    0.5157 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   0.5123    0.0099    1.2385    0.2160    0.4959    0.5286 
               27 billion |   0.5279    0.0086    3.2511    0.0012    0.5138    0.5420 
               53 billion |   0.4906    0.0092   -1.0221    0.3072    0.4753    0.5058 
               70 billion |   0.4687    0.0095   -3.2841    0.0011    0.4530    0.4844 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   0.4687    0.0088   -3.5524    0.0004    0.4542    0.4832 
         8 million people |   0.5102    0.0085    1.1948    0.2326    0.4962    0.5242 
        17 million people |   0.4910    0.0086   -1.0459    0.2960    0.4768    0.5052 
        25 million people |   0.5318    0.0098    3.2485    0.0012    0.5157    0.5480 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   0.4662    0.0095   -3.5464    0.0004    0.4504    0.4819 
                  2 years |   0.5217    0.0090    2.4040    0.0165    0.5068    0.5366 
                  4 years |   0.5144    0.0088    1.6330    0.1030    0.4999    0.5289 
                  8 years |   0.4980    0.0091   -0.2196    0.8263    0.4830    0.5130 
--------------------------------------------------------------------------------------


. matrix liberal_choice_mean = e(results_Liberal)

. matrix moderate_choice_mean = e(results_Moderate)

. matrix conservative_choice_mean = e(results_Conservative)

. 
. **program support
. *table G.6. (all respondents)
. conjoint program_support cat_a_desc cat_a_prob1 cat_a_prob2 cat_a_funding cat_a_cost cat
> _a_number cat_a_time, est(mm) id(id) subgroup(ideo3)
------------------------------------------------------------------------------------------

Estimated marginal means (MMs) 
ideo3 = Liberal
Number of observations = 16400
Number of respondents = 1025
H0 = 0.5

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   5.0325    0.0367  123.4443    0.0000    4.9721    5.0930 
 EITC working description |   5.0615    0.0386  118.3127    0.0000    4.9980    5.1249 
   TANF basic description |   4.9297    0.0388  114.1607    0.0000    4.8658    4.9936 
TANF self sufficient de~n |   4.9336    0.0398  111.3728    0.0000    4.8681    4.9991 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   5.0896    0.0348  131.7023    0.0000    5.0322    5.1470 
 EITC inadequacy tax time |   4.9802    0.0414  108.1981    0.0000    4.9121    5.0484 
EITC inadequacy unemplo~e |   5.0057    0.0440  102.4223    0.0000    4.9332    5.0781 
TANF inadequacy most do~i |   4.7817    0.0450   95.2212    0.0000    4.7076    4.8557 
TANF inadequacy benefit~a |   4.9844    0.0436  102.7467    0.0000    4.9125    5.0562 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   5.0919    0.0352  130.3015    0.0000    5.0339    5.1500 
 EITC fraud larger credit |   4.9947    0.0427  105.3259    0.0000    4.9245    5.0650 
EITC fraud paid preparers |   5.0091    0.0430  104.8115    0.0000    4.9382    5.0799 
   TANF fraud easy to lie |   4.9090    0.0446   98.8439    0.0000    4.8356    4.9824 
TANF fraud improper pay~s |   4.8361    0.0451   96.1876    0.0000    4.7618    4.9103 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   5.0011    0.0352  127.9059    0.0000    4.9432    5.0590 
                    State |   4.9490    0.0370  120.3932    0.0000    4.8882    5.0099 
        Federal and state |   5.0155    0.0366  123.3299    0.0000    4.9552    5.0758 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   4.9727    0.0366  122.0928    0.0000    4.9124    5.0330 
               27 billion |   5.0070    0.0384  117.2471    0.0000    4.9437    5.0703 
               53 billion |   4.9684    0.0383  116.6681    0.0000    4.9053    5.0314 
               70 billion |   5.0063    0.0402  112.1918    0.0000    4.9402    5.0725 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   4.8971    0.0387  113.4993    0.0000    4.8333    4.9609 
         8 million people |   4.9650    0.0381  117.3418    0.0000    4.9024    5.0276 
        17 million people |   5.0184    0.0394  114.6036    0.0000    4.9535    5.0833 
        25 million people |   5.0756    0.0369  123.9139    0.0000    5.0148    5.1364 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   4.9600    0.0382  116.6681    0.0000    4.8970    5.0229 
                  2 years |   4.9553    0.0393  113.3209    0.0000    4.8906    5.0200 
                  4 years |   5.0193    0.0375  120.5798    0.0000    4.9576    5.0810 
                  8 years |   5.0202    0.0394  114.7098    0.0000    4.9553    5.0851 
--------------------------------------------------------------------------------------

------------------------------------------------------------------------------------------

Estimated marginal means (MMs) 
ideo3 = Moderate
Number of observations = 8432
Number of respondents = 527
H0 = 0.5

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   4.4625    0.0568   69.7128    0.0000    4.3689    4.5562 
 EITC working description |   4.4668    0.0559   71.0000    0.0000    4.3748    4.5589 
   TANF basic description |   4.3495    0.0551   69.8114    0.0000    4.2586    4.4403 
TANF self sufficient de~n |   4.4500    0.0578   68.3069    0.0000    4.3547    4.5453 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   4.5385    0.0513   78.6569    0.0000    4.4539    4.6231 
 EITC inadequacy tax time |   4.4173    0.0643   60.8952    0.0000    4.3113    4.5233 
EITC inadequacy unemplo~e |   4.4444    0.0649   60.7843    0.0000    4.3375    4.5514 
TANF inadequacy most do~i |   4.2956    0.0651   58.2886    0.0000    4.1883    4.4029 
TANF inadequacy benefit~a |   4.3530    0.0637   60.4663    0.0000    4.2480    4.4580 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   4.5799    0.0506   80.6871    0.0000    4.4966    4.6632 
 EITC fraud larger credit |   4.4817    0.0621   64.0921    0.0000    4.3793    4.5841 
EITC fraud paid preparers |   4.3081    0.0711   53.5683    0.0000    4.1910    4.4252 
   TANF fraud easy to lie |   4.3180    0.0618   61.7621    0.0000    4.2162    4.4199 
TANF fraud improper pay~s |   4.3118    0.0678   56.2345    0.0000    4.2002    4.4235 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   4.4073    0.0544   71.8723    0.0000    4.3177    4.4968 
                    State |   4.4189    0.0504   77.7005    0.0000    4.3358    4.5020 
        Federal and state |   4.4694    0.0523   75.9502    0.0000    4.3833    4.5556 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   4.4939    0.0538   74.2861    0.0000    4.4053    4.5824 
               27 billion |   4.4102    0.0580   67.4025    0.0000    4.3146    4.5058 
               53 billion |   4.4598    0.0543   72.8602    0.0000    4.3702    4.5493 
               70 billion |   4.3602    0.0598   64.5725    0.0000    4.2617    4.4587 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   4.3961    0.0566   68.8308    0.0000    4.3028    4.4894 
         8 million people |   4.3756    0.0561   69.0807    0.0000    4.2832    4.4680 
        17 million people |   4.4158    0.0548   71.4936    0.0000    4.3255    4.5060 
        25 million people |   4.5404    0.0555   72.8356    0.0000    4.4490    4.6318 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   4.3418    0.0581   66.1267    0.0000    4.2461    4.4375 
                  2 years |   4.4609    0.0553   71.6633    0.0000    4.3699    4.5520 
                  4 years |   4.4492    0.0542   72.8481    0.0000    4.3599    4.5386 
                  8 years |   4.4768    0.0585   67.9330    0.0000    4.3804    4.5733 
--------------------------------------------------------------------------------------

------------------------------------------------------------------------------------------

Estimated marginal means (MMs) 
ideo3 = Conservative
Number of observations = 9984
Number of respondents = 624
H0 = 0.5

--------------------------------------------------------------------------------------
        Variable / Levels |     Est.        SE         t     P>|t|       LCI       UCI 
--------------------------+-----------------------------------------------------------
Policy Description        |                                                           
   EITC basic description |   4.7371    0.0620   68.2855    0.0000    4.6349    4.8393 
 EITC working description |   4.6332    0.0632   65.4117    0.0000    4.5291    4.7373 
   TANF basic description |   4.6599    0.0637   65.3413    0.0000    4.5550    4.7648 
TANF self sufficient de~n |   4.7238    0.0628   67.2377    0.0000    4.6203    4.8273 
--------------------------+-----------------------------------------------------------
Policy Problem 1          |                                                           
                     None |   4.7473    0.0595   71.3678    0.0000    4.6493    4.8454 
 EITC inadequacy tax time |   4.6822    0.0663   63.0737    0.0000    4.5730    4.7914 
EITC inadequacy unemplo~e |   4.6162    0.0697   59.0652    0.0000    4.5014    4.7310 
TANF inadequacy most do~i |   4.6684    0.0687   60.7091    0.0000    4.5553    4.7815 
TANF inadequacy benefit~a |   4.6687    0.0653   63.8583    0.0000    4.5612    4.7762 
--------------------------+-----------------------------------------------------------
Policy Problem 2          |                                                           
                     None |   4.7237    0.0582   72.5790    0.0000    4.6278    4.8195 
 EITC fraud larger credit |   4.6920    0.0682   61.4632    0.0000    4.5797    4.8044 
EITC fraud paid preparers |   4.6765    0.0690   60.5317    0.0000    4.5628    4.7902 
   TANF fraud easy to lie |   4.6684    0.0685   60.8116    0.0000    4.5555    4.7814 
TANF fraud improper pay~s |   4.6494    0.0690   60.1722    0.0000    4.5358    4.7630 
--------------------------+-----------------------------------------------------------
funding attribute         |                                                           
                  Federal |   4.6314    0.0607   68.0541    0.0000    4.5314    4.7314 
                    State |   4.7244    0.0606   69.6583    0.0000    4.6245    4.8243 
        Federal and state |   4.7108    0.0569   73.9694    0.0000    4.6170    4.8045 
--------------------------+-----------------------------------------------------------
cost attribute            |                                                           
               19 billion |   4.7279    0.0594   71.2187    0.0000    4.6301    4.8257 
               27 billion |   4.7287    0.0603   70.0833    0.0000    4.6293    4.8281 
               53 billion |   4.7172    0.0627   67.2529    0.0000    4.6139    4.8205 
               70 billion |   4.5835    0.0688   59.3719    0.0000    4.4702    4.6968 
--------------------------+-----------------------------------------------------------
number attribute          |                                                           
         5 million people |   4.6276    0.0596   69.2966    0.0000    4.5295    4.7258 
         8 million people |   4.6564    0.0657   63.2322    0.0000    4.5482    4.7647 
        17 million people |   4.7117    0.0627   67.2124    0.0000    4.6085    4.8149 
        25 million people |   4.7640    0.0616   69.2465    0.0000    4.6626    4.8655 
--------------------------+-----------------------------------------------------------
time attribute            |                                                           
            No time limit |   4.6405    0.0659   62.8611    0.0000    4.5320    4.7490 
                  2 years |   4.7407    0.0595   71.2175    0.0000    4.6426    4.8388 
                  4 years |   4.7058    0.0617   68.1849    0.0000    4.6042    4.8074 
                  8 years |   4.6691    0.0637   65.4296    0.0000    4.5641    4.7740 
--------------------------------------------------------------------------------------


. matrix liberal_support_mean = e(results_Liberal)

. matrix moderate_support_mean = e(results_Moderate)

. matrix conservative_support_mean = e(results_Conservative)

. 
. 
. log close
      name:  <unnamed>
       log:  E:\PHD\Research\EITC public opinion\EITC HQ JH\Data\Replication data\conjoint
> analysis.log
  log type:  text
 closed on:  25 Sep 2023, 12:32:37
------------------------------------------------------------------------------------------
